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Table of Contents

  1. Federated Learning Papers
  2. Other topics
  3. Federated Learning Papers with Code

Federated Learning Papers

This GitHub repository contains an updated list of Federated Learning papers as of October 29, 2024.

  • The resources are collected from various sources, including arXiv, NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, IJCAI, KDD, CVPR, ICCV, ECCV, NIPS, IEEE, ACM, Springer, ScienceDirect, Wiley, Nature, Science, and other top AI/ML conferences and journals.
  • For a better reading experience, visit the Shinyapps website.

Other Topics

Explore additional research papers on the following topics:


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Federated Learning Papers with Code

Due to GitHub repository limitations, this section includes only those papers that provide accompanying code, sorted by publish date. For access to the full list of papers, please visit the Shinyapps website.


No. Title Authors Publish Date Venue Code URL
1 Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift Junbao Chen, Jingfeng Xue, Yong Wang, Zhenyan Liu, Lu Huang 2024-10-24 arXiv https://github.com/Chen-Junbao/FedCCFA http://arxiv.org/abs/2410.18478v1
2 FedGMark: Certifiably Robust Watermarking for Federated Graph Learning Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang 2024-10-23 arXiv https://github.com/Yuxin104/FedGMark http://arxiv.org/abs/2410.17533v1
3 DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation Meilu Zhu, Axiu Mao, Jun Liu, Yixuan Yuan 2024-10-16 arXiv https://github.com/CUHK-AIM-Group/DEeR http://arxiv.org/abs/2410.12926v1
4 FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng 2024-10-15 arXiv https://github.com/XeniaLLL/FOOGD-main http://arxiv.org/abs/2410.11397v1
5 FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning Xinpeng Wang, Xiaoying Tang 2024-10-15 arXiv https://github.com/SanphouWang/FedCCRL http://arxiv.org/abs/2410.11267v2
6 Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning Hassan Ali, Surya Nepal, Salil S. Kanhere, Sanjay Jha 2024-10-15 arXiv https://github.com/hassanalikhatim/AGSD http://arxiv.org/abs/2410.11205v1
7 Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views Xinyue Chen, Yazhou Ren, Jie Xu, Fangfei Lin, Xiaorong Pu, Yang Yang 2024-10-12 arXiv https://github.com/5Martina5/FMCSC http://arxiv.org/abs/2410.09484v1
8 Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data Arthur Mendonça Sasse, Claudio Miceli de Farias 2024-10-11 arXiv https://github.com/artsasse/fedkan http://arxiv.org/abs/2410.08961v1
9 Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Xiaoxiao Li, Han Yu 2024-10-09 arXiv https://github.com/Xiaoni-61/DH-Benchmark http://arxiv.org/abs/2410.07286v1
10 FACMIC: Federated Adaptative CLIP Model for Medical Image Classification Yihang Wu, Christian Desrosiers, Ahmad Chaddad 2024-10-08 GoogleScholar https://github.com/AIPMLab/FACMIC http://arxiv.org/abs/2410.14707v1
11 FedGraph: A Research Library and Benchmark for Federated Graph Learning Yuhang Yao, Yuan Li, Xinyi Fan, Junhao Li, Kay Liu, Weizhao Jin, Srivatsan Ravi, Philip S. Yu, Carlee Joe-Wong 2024-10-08 arXiv https://github.com/FedGraph/fedgraph http://arxiv.org/abs/2410.06340v1
12 Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation Matthis Manthe, Carole Lartizien, Stefan Duffner 2024-10-04 ECML/PKDD https://github.com/MatthisManthe/DDI_SCFL https://doi.org/10.1007/978-3-031-70359-1_22
13 FedCert: Federated Accuracy Certification Minh Hieu Nguyen, Huu Tien Nguyen, Trung Thanh Nguyen, Manh Duong Nguyen, Trong Nghia Hoang, Truong Thao Nguyen, Phi Le Nguyen 2024-10-04 arXiv https://github.com/thanhhff/FedCert/ http://arxiv.org/abs/2410.03067v1
14 FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator Sunny Gupta, Nikita Jangid, Amit Sethi 2024-10-04 arXiv https://github.com/sunnyinAI/FedStein http://arxiv.org/abs/2410.03499v1
15 Selective Aggregation for Low-Rank Adaptation in Federated Learning Pengxin Guo, Shuang Zeng, Yanran Wang, Huijie Fan, Feifei Wang, Liangqiong Qu 2024-10-02 arXiv …, 2024 https://github.com/Pengxin-Guo/FedSA-LoRA http://arxiv.org/abs/2410.01463v2
16 DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations Guogang Zhu, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Xinghao Wu, Jiayuan Zhang 2024-10 MM '24: Proceedings of the 32nd ACM International Conference on Multimedia https://github.com/GuogangZhu/DualFed https://dl.acm.org/doi/10.1145/3664647.3681260
17 Tackling Noisy Clients in Federated Learning with End-to-end Label Correction Xuefeng Jiang, Sheng Sun, Jia Li, Jingjing Xue, Runhan Li, Zhiyuan Wu, Gang Xu, Yuwei Wang, Min Liu 2024-10 CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management https://github.com/Sprinter1999/FedELC https://dl.acm.org/doi/10.1145/3627673.3679550
18 Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics Jiaxiang Geng, Beilong Tang, Boyan Zhang, Jiaqi Shao, Bing Luo 2024-10 MOBIHOC '24: Proceedings of the Twenty-fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing https://github.com/FedCampus/FedCampus_Flutter https://dl.acm.org/doi/10.1145/3641512.3690630
19 Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-rank Decomposition Xinghao Wu, Xuefeng Liu, Jianwei Niu, Haolin Wang, Shaojie Tang, Guogang Zhu, Hao Su 2024-10 MM '24: Proceedings of the 32nd ACM International Conference on Multimedia https://github.com/XinghaoWu/FedDecomp https://dl.acm.org/doi/10.1145/3664647.3681588
20 PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk 2024-10 CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management https://github.com/anwarmaxsum/PIP https://dl.acm.org/doi/10.1145/3627673.3679794
21 Medical Federated Model with Mixture of Personalized and Shared Components Yawei Zhao, Qinghe Liu, Xinwang Liu, Kunlun He 2024-09-28 IEEE Transactions on Pattern Analysis and Machine Intelligence https://github.com/ https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10697408
22 PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu 2024-09-27 GoogleScholar https://github.com/Ghy0501/PILoRA http://arxiv.org/abs/2401.02094v2
23 Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Chang, Chen Chen, Bill Lin 2024-09-27 arXiv https://github.com/MMorafah/TAKFL https://doi.org/10.48550/arXiv.2409.18461
24 Vehicle Selection for C-V2X Mode 4-Based Federated Edge Learning Systems Qiong Wu, Xiaobo Wang, Pingyi Fan, Qiang Fan, Huiling Zhu, Jiangzhou Wang 2024-09-27 IEEE Systems Journal https://github.com/qiongwu86/Vehicle-selection-for-C-V2X https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10695132
25 Hierarchical Federated Learning with Multi-Timescale Gradient Correction Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang, Christopher G. Brinton 2024-09-27 arXiv https://github.com/wenzhifang/MTGC https://doi.org/10.48550/arXiv.2409.18448
26 FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch Sunny Gupta, Mohit Jindal, Pankhi Kashyap, Pranav Jeevan, Amit Sethi 2024-09-24 arXiv https://github.com/sunnyinAI/FLeNS https://doi.org/10.48550/arXiv.2409.15216
27 FedSlate:A Federated Deep Reinforcement Learning Recommender System Yongxin Deng, Xiaoyu Tan, Xihe Qiu, Yaochu Jin 2024-09-24 arXiv https://github.com/TianYaDY/FedSlate https://doi.org/10.48550/arXiv.2409.14872
28 FEDL: Confidential Deep Learning for Autonomous Driving in VANETs Based on Functional Encryption M. Tang, Z. Huang, G. Deng 2024-09-24 IEEE Transactions on Intelligent Transportation Systems https://github.com/HuangZengyi/FEDL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10689332
29 Federated Learning with Label-Masking Distillation Jianghu Lu, Shikun Li, Kexin Bao, Pengju Wang, Zhenxing Qian, Shiming Ge 2024-09-20 MM '23: Proceedings of the 31st ACM International Conference on Multimedia https://github.com/wnma3mz/FedLMD https://dl.acm.org/doi/10.1145/3581783.3611984
30 FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning Xiuhua Lu, Peng Li, Xuefeng Jiang 2024-09-19 arXiv https://github.com/18sym/FedLF https://doi.org/10.48550/arXiv.2409.12105
31 Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, Ravi K. Madduri 2024-09-17 arXiv https://github.com/APPFL/APPFL https://doi.org/10.48550/arXiv.2409.11585
32 AdaFedProx: A Heterogeneity-Aware Federated Deep Reinforcement Learning for Medical Image Classification P. Sahoo, A. Tripathi, S. Saha, S. Mondal, J. P. Singh, B. Sharma 2024-09-16 IEEE Transactions on Consumer Electronics https://github.com/Pranabiitp/AdaFedProx https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10681112
33 Federated Feature Augmentation and Alignment T. Zhou, Y. Yuan, B. Wang, E. Konukoglu 2024-09-16 IEEE Transactions on Pattern Analysis and Machine Intelligence https://github.com/tfzhou/FedFA https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10680999
34 A Unified Framework for Federated Semi-Supervised Learning in Heterogeneous IoT Healthcare Systems B. Li, W. Gao, J. Xie, H. Li, M. Gong 2024-09-11 IEEE Internet of Things Journal https://github.com/baoshengli96/FSSL-HD https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10673976
35 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li 2024-09-10 OpenReview https://github.com/ATP-1010/FederatedLLM http://arxiv.org/abs/2409.05976v1
36 Buffer-based Gradient Projection for Continual Federated Learning Shenghong Dai, Jy-yong Sohn, Yicong Chen, S. M. Iftekharul Alam, Ravikumar Balakrishnan, Suman Banerjee, Nageen Himayat, Kangwook Lee 2024-09-04 arXiv https://github.com/shenghongdai/Fed-A-GEM https://doi.org/10.48550/arXiv.2409.01585
37 Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation Ruojun Zhou, Lisha Qu, Lei Zhang, Ziming Li, Hongwei Yu, Bing Luo 2024-09-02 arXiv https://github.com/Arnold-Jun/Fed-MUnet http://arxiv.org/abs/2409.01020v1
38 Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu, Zikai Zhang, Rui Hu 2024-09-02 arXiv https://github.com/JiiahaoXU/LASA https://doi.org/10.48550/arXiv.2409.01435
39 Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang 2024-09-02 arXiv https://github.com/jinglin-liang/DDDR https://doi.org/10.48550/arXiv.2409.01128
40 Model-based federated learning for accurate MR image reconstruction from undersampled k-space data Ruoyou Wu, Cheng Li, Juan Zou, Qiegen Liu, Hairong Zheng, Shanshan Wang 2024-09-01 Comput. Biol. Medicine https://github.com/ternencewu123/ModFed https://doi.org/10.1016/j.compbiomed.2024.108905
41 Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Saiful Islam, Abram Hindle, Padma Kaul, Russell Greiner 2024-09 ICMHI '24: Proceedings of the 2024 8th International Conference on Medical and Health Informatics https://github.com/vikhyatt/Hospital-FL-DP https://dl.acm.org/doi/10.1145/3673971.3673990
42 VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification Yungi Cho, Woorim Han, Miseon Yu, Younghan Lee, Ho Bae, Yunheung Paek 2024-08-29 ESORICS https://github.com/blingcho/VFLIP-esorics24 https://doi.org/10.1007/978-3-031-70903-6_15
43 DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing Xueying Gu, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Khaled B. Letaief 2024-08-28 arXiv https://github.com/qiongwu86/Federated-SSL-task-offloading-and-resource-allocation https://doi.org/10.48550/arXiv.2408.14831
44 Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation Li Wang, Shoujin Wang, Quangui Zhang, Qiang Wu, Min Xu 2024-08-27 arXiv:2408.14689, 2024 https://github.com/Lili1013/FUPM http://arxiv.org/abs/2408.14689v1
45 FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou 2024-08-25 KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining https://github.com/alibaba/FederatedScope/tree/llm https://dl.acm.org/doi/10.1145/3637528.3671573
46 Personalized Federated Continual Learning via Multi-Granularity Prompt Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li 2024-08-25 KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining https://github.com/SkyOfBeginning/FedMGP https://dl.acm.org/doi/10.1145/3637528.3671948
47 OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen 2024-08-25 KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining https://github.com/rui-ye/OpenFedLLM https://dl.acm.org/doi/10.1145/3637528.3671582
48 Federated Graph Learning with Structure Proxy Alignment Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li 2024-08-25 KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining https://github.com/xbfu/FedSpray https://dl.acm.org/doi/10.1145/3637528.3671717
49 FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning Zihui Wang, Zheng Wang, Lingjuan Lyu, Zhaopeng Peng, Zhicheng Yang, Chenglu Wen, Rongshan Yu, Cheng Wang, Xiaoliang Fan 2024-08-25 KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining https://github.com/wangzihuixmu/FedSAC https://dl.acm.org/doi/10.1145/3637528.3671748
50 FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation Tong Xia, Abhirup Ghosh, Xinchi Qiu, Cecilia Mascolo 2024-08-25 KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining https://github.com/XTxiatong/FLea https://dl.acm.org/doi/10.1145/3637528.3671899
51 Tackling Data Heterogeneity in Federated Learning via Loss Decomposition Shuang Zeng, Pengxin Guo, Shuai Wang, Jianbo Wang, Yuyin Zhou, Liangqiong Qu 2024-08-23 arXiv https://github.com/Zeng-Shuang/FedLD https://doi.org/10.48550/arXiv.2408.12300
52 FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation Philip Schutte, Valentina Corbetta, Regina Beets-Tan, Wilson Silva 2024-08-22 arXiv …, 2024 https://github.com/Trustworthy-AI-UU-NKI/Federated-Learning-Disentanglement http://arxiv.org/abs/2408.11701v1
53 DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV Xueying Gu, Qiong Wu, Pingyi Fan, Qiang Fan, Nan Cheng, Wen Chen, Khaled B. Letaief 2024-08-17 arXiv https://github.com/qiongwu86/DRL-BFSSL https://doi.org/10.48550/arXiv.2408.09194
54 Federated Fairness Analytics: Quantifying Fairness in Federated Learning Oscar Dilley, Juan Marcelo Parra Ullauri, Rasheed Hussain, Dimitra Simeonidou 2024-08-16 arXiv https://github.com/oscardilley/federated-fairness https://doi.org/10.48550/arXiv.2408.08214
55 Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability Mario Padilla Rodriguez, Mohamed Nafea 2024-08-15 arXiv e-prints, 2024 https://github.com/padillma1/Heart-Disease-Classification-on-UCI-dataset-and-Shapley-Interpretability-Analysis http://arxiv.org/abs/2408.06183v2
56 A Comprehensive Federated Learning Framework for Diabetic Retinopathy Grading and Lesion Segmentation J. Mao, X. Ma, Y. Bi, R. Zhang 2024-08-14 IEEE Transactions on Big Data https://github.com/NekoPii/TJDR-FL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10634805
57 Understanding Byzantine Robustness in Federated Learning with A Black-box Server Fangyuan Zhao, Yuexiang Xie, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li 2024-08-12 arXiv https://github.com/alibaba/FederatedScope/tree/Byzantine_attack_defense https://doi.org/10.48550/arXiv.2408.06042
58 Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery Jialang Xu, Jiacheng Wang, Lequan Yu, Danail Stoyanov, Yueming Jin, Evangelos B. Mazomenos 2024-08-06 arXiv https://github.com/wzjialang/PFedSIS http://arxiv.org/abs/2408.03208v1
59 Mobility-Aware Federated Self-supervised Learning in Vehicular Network Xueying Gu, Qiong Wu, Pingyi Fan, Qiang Fan 2024-08-02 arXiv https://github.com/qiongwu86/FLSimCo https://doi.org/10.48550/arXiv.2408.00256
60 FedBChain: A Blockchain-enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy Insights Gaoxuan Li, Chern Hong Lim, Qiyao Ma, Xinyu Tang, Hwa Hui Tew, Fan Ding, Xuewen Luo 2024-08-01 arXiv https://github.com/Glen909/FedBChain https://doi.org/10.48550/arXiv.2407.21282
61 F-KANs: Federated Kolmogorov-Arnold Networks Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Marius Caus, Abdullah Aydeger 2024-07-30 arXiv …, 2024 https://github.com/ezeydan/F-KANs http://arxiv.org/abs/2407.20100v2
62 Multi-level Collaborative Learning for Multi-Target Domain Adaptive Semantic Segmentation F. Ding, J. Li 2024-07-30 IEEE Transactions on Circuits and Systems for Video Technology https://github.com/feifei-cv/MCL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10614657
63 Joint Optimization of Fairness and Energy Efficiency in Zero-Trust Federated Learning for Consumer Internet of Things: A Lossy Communication Perspective K. Zhang, J. Sun, Q. Feng, X. Huang, C. Jiang, M. S. Hossain 2024-07-29 IEEE Transactions on Consumer Electronics https://github.com/sunjia123456789/The-Faired-FL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10612832
64 UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks Atefe Hassani, Islem Rekik 2024-07-29 arXiv https://github.com/basiralab/UniFed http://arxiv.org/abs/2408.07075v2
65 HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging Tajamul Ashraf, Tisha Madame 2024-07-26 arXiv https://tisharepo.github.io/Webpage/ https://doi.org/10.48550/arXiv.2407.17780
66 COALA: A Practical and Vision-Centric Federated Learning Platform Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu 2024-07-23 arXiv https://github.com/SonyResearch/COALA https://doi.org/10.48550/arXiv.2407.16560
67 Generalizable Reconstruction for Accelerating MR Imaging via Federated Learning with Neural Architecture Search R. Wu, C. Li, J. Zou, X. Liu, H. Zheng, S. Wang 2024-07-23 IEEE Transactions on Medical Imaging https://github.com/ternencewu123/GAutoMRI https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10606250
68 A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Meng Pang, Binghui Wang 2024-07-21 arXiv https://github.com/Yuxin104/ https://doi.org/10.48550/arXiv.2407.15267
69 Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning Marawan Elbatel, Hualiang Wang, Jixiang Chen, Hao Wang, Xiaomeng Li 2024-07-14 arXiv https://github.com/xmed-lab/SemiAnAgg https://doi.org/10.48550/arXiv.2407.10327
70 CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna K. Gyawali, Binod Bhattarai 2024-07-12 arXiv https://github.com/bhattarailab/CAR-MFL https://doi.org/10.48550/arXiv.2407.08648
71 Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses Yuxin Yang, Qiang Li, Jinyuan Jia, Yuan Hong, Binghui Wang 2024-07-12 arXiv https://github.com/Yuxin104/Opt-GDBA https://doi.org/10.48550/arXiv.2407.08935
72 Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing Cui Zhang, Wenjun Zhang, Qiong Wu, Pingyi Fan, Qiang Fan, Jiangzhou Wang, Khaled B. Letaief 2024-07-12 IEEE Internet of Things Journal https://github.com/qiongwu86/Distributed-Deep-Reinforcement-Learning-Based-Gradient https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10643168
73 FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels Malte Tölle, Fernando Navarro, Sebastian Eble, Ivo Wolf, Bjoern Menze, Sandy Engelhardt 2024-07-12 arXiv …, 2024 https://github.com/Cardio-AI/FUNAvg http://arxiv.org/abs/2407.07488v1
74 FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi 2024-07-11 arXiv …, 2024 https://github.com/m1k2zoo/FedMedICL http://arxiv.org/abs/2407.08822v1
75 FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal 2024-07-10 arXiv https://github.com/Pranabiitp/FedMRL https://doi.org/10.48550/arXiv.2407.05800
76 Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning Son Nguyen, Thinh Nguyen, Khoa D. Doan, Kok-Seng Wong 2024-07-04 arXiv https://github.com/nguyenhongson1902/Venomancer https://doi.org/10.48550/arXiv.2407.03144
77 Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging Zhipeng Deng, Luyang Luo, Hao Chen 2024-07-02 arXiv:2407.02356, 2024 https://github.com/dzp2095/FCU http://arxiv.org/abs/2407.02356v1
78 FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness Yangyang Xiang, Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan 2024-07-02 arXiv …, 2024 https://github.com/HUSTxyy/FedIA http://arxiv.org/abs/2407.02280v2
79 Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning Wenhua Wang, Qiong Wu, Pingyi Fan, Nan Cheng, Wen Chen, Jiangzhou Wang, Khaled B. Letaief 2024-07-01 arXiv https://github.com/qiongwu86/Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learning https://doi.org/10.48550/arXiv.2407.02342
80 A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning Anqi Zhou, Yezheng Liu, Yidong Chai, Hongyi Zhu, Xinyue Ge, Yuanchun Jiang, Meng Wang 2024-06-30 arXiv https://github.com/brick-brick/WPCRAM https://doi.org/10.48550/arXiv.2407.00719
81 FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity Zhaobin Sun, Nannan Wu, Junjie Shi, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan 2024-06-28 arXiv …, 2024 https://github.com/szbonaldo/FedMLP http://arxiv.org/abs/2406.18995v1
82 Contrastive Multi-bit Collaborative Learning for Deep Cross-modal Hashing Q. Wu, Z. Zhang, Y. Liu, J. Zhang, L. Nie 2024-06-26 IEEE Transactions on Knowledge and Data Engineering https://github.com/sky-wz/CMCL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10572365
83 Quantum Fuzzy Federated Learning for Privacy Protection in Intelligent Information Processing Z. Qu, L. Zhang, P. Tiwari 2024-06-26 IEEE Transactions on Fuzzy Systems https://github.com/LASTsue/QFFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10572363
84 Heterogeneous Federated Domain Generalization Network With Common Representation Learning for Cross-Load Machinery Fault Diagnosis Quan Qian, Jun Luo, Yi Qin 2024-06-25 IEEE Transactions on Systems, Man, and Cybernetics: Systems https://qinyi-team.github.io/2024/05/Heterogeneous-federated-domain-generalization-network https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10571357
85 Low-Resource Machine Translation through the Lens of Personalized Federated Learning Viktor Moskvoretskii, Nazarii Tupitsa, Chris Biemann, Samuel Horváth, Eduard Gorbunov, Irina Nikishina 2024-06-19 arXiv https://github.com/VityaVitalich/MeritFed https://doi.org/10.48550/arXiv.2406.12564
86 Federated Face Forgery Detection Learning with Personalized Representation Decheng Liu, Zhan Dang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao 2024-06-18 arXiv https://github.com/GANG370/PFR-Forgery https://doi.org/10.48550/arXiv.2406.11145
87 Synergizing Foundation Models and Federated Learning: A Survey Shenghui Li, Fanghua Ye, Meng Fang, Jiaxu Zhao, Yun-Hin Chan, Edith C. -H. Ngai, Thiemo Voigt 2024-06-18 arXiv https://github.com/lishenghui/awesome-fm-fl https://doi.org/10.48550/arXiv.2406.12844
88 Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities Felix Wagner, Wentian Xu, Pramit Saha, Ziyun Liang, Daniel Whitehouse, David Menon, Virginia Newcombe, Natalie Voets, J. Alison Noble, Konstantinos Kamnitsas 2024-06-17 arXiv https://github.com/FelixWag/FL-MultiDisease-MRI https://doi.org/10.48550/arXiv.2406.11636
89 Accelerating Communication-efficient Federated Multi-Task Learning With Personalization and Fairness Renyou Xie, Chaojie Li, Xiaojun Zhou, Zhaoyang Dong 2024-06-12 IEEE Transactions on Parallel and Distributed Systems https://github.com/xry21xdj/FedMGDA-M https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10552428
90 FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen 2024-06-12 arXiv https://github.com/rui-ye/FedLLM-Bench https://doi.org/10.48550/arXiv.2406.04845
91 Fedhca2: Towards Hetero-Client Federated Multi-Task Learning Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu 2024-06-12 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/innovator-zero/FedHCA2 https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10658480
92 Privacy-Preserving Collaboration for Multi-Organ Segmentation via Federated Learning from Sites with Partial Labels Adway U. Kanhere, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh 2024-06-12 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) https://github.com/UM2ii/SegViz https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10678090
93 Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li 2024-06-07 arXiv …, 2024 https://github.com/hongleizhang/FedCA http://arxiv.org/abs/2406.03933v1
94 FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles Cyprien Quéméneur, Soumaya Cherkaoui 2024-06-06 arXiv https://github.com/cyprienquemeneur/fedpylot https://doi.org/10.48550/arXiv.2406.03611
95 Accelerating Heterogeneous Federated Learning with Closed-form Classifiers Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone 2024-06-04 arXiv https://fed-3r.github.io/ https://doi.org/10.48550/arXiv.2406.01116
96 A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder Jingjing Zheng, Xin Yuan, Kai Li, Wei Ni, Eduardo Tovar, Jon Crowcroft 2024-06-03 arXiv https://github.com/jjzgeeks/LayerCAM-AE https://doi.org/10.48550/arXiv.2406.02605
97 Redefining Contributions: Shapley-Driven Federated Learning Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horváth, Karthik Nandakumar 2024-06-02 arXiv https://github.com/tnurbek/shapfed https://doi.org/10.48550/arXiv.2406.00569
98 Pursuing Overall Welfare in Federated Learning through Sequential Decision Making Seok-Ju Hahn, Gi-Soo Kim, Junghye Lee 2024-06-01 arXiv https://github.com/vaseline555/AAggFF https://doi.org/10.48550/arXiv.2405.20821
99 Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Hongtao Lu, Yue Ding 2024-06 ICMR '24: Proceedings of the 2024 International Conference on Multimedia Retrieval https://github.com/youngfish42/FMTL-Benchmark https://dl.acm.org/doi/10.1145/3652583.3657999
100 Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning Aditya Shankar, Lydia Y. Chen, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai 2024-05-31 arXiv https://github.com/adis98/STV https://doi.org/10.48550/arXiv.2405.20761
101 Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience Thanh Trung Huynh, Trong Bang Nguyen, Phi Le Nguyen, Thanh Tam Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer 2024-05-30 arXiv …, 2024 https://github.com/thanhtrunghuynh93/fastFedUL http://arxiv.org/abs/2405.18040v1
102 Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Ya Zhang, Yanfeng Wang 2024-05-30 arXiv https://github.com/MediaBrain-SJTU/FedMR https://doi.org/10.48550/arXiv.2405.18983
103 Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su 2024-05-30 arXiv https://github.com/GuogangZhu/FedDB https://doi.org/10.48550/arXiv.2405.19789
104 Federated Learning with Bilateral Curation for Partially Class-Disjoint Data Ziqing Fan, Ruipeng Zhang, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang 2024-05-29 NeurIPS https://github.com/MediaBrain-SJTU/FedGELA http://papers.nips.cc/paper_files/paper/2023/hash/65b721a1df04c1098567f70d483d6468-Abstract-Conference.html
105 Multi-Level Additive Modeling for Structured Non-IID Federated Learning Shutong Chen, Tianyi Zhou, Guodong Long, Jie Ma, Jing Jiang, Chengqi Zhang 2024-05-27 arXiv https://github.com/shutong043/FeMAM https://doi.org/10.48550/arXiv.2405.16472
106 Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei 2024-05-27 arXiv https://github.com/CathyXueqingZhang/DataPoisoningVis https://doi.org/10.48550/arXiv.2405.16707
107 Analytic Federated Learning Huiping Zhuang, Run He, Kai Tong, Di Fang, Han Sun, Haoran Li, Tianyi Chen, Ziqian Zeng 2024-05-26 arXiv https://github.com/ZHUANGHP/Analytic-federated-learning https://doi.org/10.48550/arXiv.2405.16240
108 Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing Yongxin Guo, Lin Wang, Xiaoying Tang, Tao Lin 2024-05-26 arXiv https://github.com/LINs-lab/client2vec https://doi.org/10.48550/arXiv.2405.16233
109 FedSheafHN: Personalized Federated Learning on Graph-structured Data Wenfei Liang, Yanan Zhao, Rui She, Yiming Li, Wee Peng Tay 2024-05-26 arXiv https://github.com/CarrieWFF/ICML-2024-submission-recording/blob/main/Screenshot%20of%20FedSheafHN%20submission%20to%20ICML%202024.png https://doi.org/10.48550/arXiv.2405.16056
110 Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye, Wei Shen, Bo Du, Eduard Snezhko, Vassili Kovalev, Pong C. Yuen 2024-05-26 arXiv https://github.com/shentt67/VFL_Survey https://doi.org/10.48550/arXiv.2405.17495
111 Thinking Forward: Memory-Efficient Federated Finetuning of Language Models Kunjal Panchal, Nisarg Parikh, Sunav Choudhary, Lijun Zhang, Yuriy Brun, Hui Guan 2024-05-25 arXiv …, 2024 https://github.com/Astuary/Spry http://arxiv.org/abs/2405.15551v1
112 Massive Digital Over-the-Air Computation for Communication-Efficient Federated Edge Learning Li Qiao, Zhen Gao, Mahdi Boloursaz Mashhadi, Deniz Gündüz 2024-05-25 IEEE Journal on Selected Areas in Communications https://github.com/liqiao19/MD-AirComp https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10648926
113 Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang 2024-05-24 arXiv https://github.com/ZidongLiu/FedDisco https://doi.org/10.48550/arXiv.2405.15861
114 Federated Online Adaptation for Deep Stereo Matteo Poggi, Fabio Tosi 2024-05-23 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://fedstereo.github.io/ https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10658044
115 EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection Yuwen Qian, Shuchi Wu, Kang Wei, Ming Ding, Di Xiao, Tao Xiang, Chuan Ma, Song Guo 2024-05-21 arXiv https://github.com/ShuchiWu/EmInspector https://doi.org/10.48550/arXiv.2405.13080
116 A GAN-Based Data Poisoning Attack Against Federated Learning Systems and Its Countermeasure Wei Sun, Bo Gao, Ke Xiong, Yuwei Wang 2024-05-20 arXiv https://github.com/SSssWEIssSS/VagueGAN-Data-Poisoning-Attack-and-Its-Countermeasure https://doi.org/10.48550/arXiv.2405.11440
117 Feature-Based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy Feng Wang, Mustafa Cenk Gursoy, Senem Velipasalar 2024-05-16 IEEE Transactions on Machine Learning in Communications and Networking https://github.com/wfwf10/Feature-based-Federated-Transfer-Learning https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10542971
118 From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching Nannan Wu, Zhuo Kuang, Zengqiang Yan, Li Yu 2024-04-27 arXiv https://github.com/wnn2000/FFL4MIA https://doi.org/10.48550/arXiv.2404.17805
119 Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning Tao Liu, Yuhang Zhang, Zhu Feng, Zhiqin Yang, Chen Xu, Dapeng Man, Wu Yang 2024-04-26 AAAI https://github.com/PhD-TaoLiu/FCBA https://doi.org/10.1609/aaai.v38i19.30131
120 Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme Qianyu Long, Qiyuan Wang, Christos Anagnostopoulos, Daning Bi 2024-04-24 arXiv https://github.com/EricLoong/da-dpfl https://doi.org/10.48550/arXiv.2404.15943
121 On the Efficiency of Privacy Attacks in Federated Learning Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu 2024-04-15 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) https://github.com/mlsysx/EPAFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10677989
122 Anti-Byzantine attacks enabled vehicle selection for asynchronous federated learning in vehicular edge computing Cui Zhang, Xiao Xu, Qiong Wu, Pingyi Fan, Qiang Fan, Huiling Zhu, Jiangzhou Wang 2024-04-12 China Communications https://github.com/giongwu86/By-AFLDDPG https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10670125
123 FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning Rishub Tamirisa, Chulin Xie, Wenxuan Bao, Andy Zhou, Ron Arel, Aviv Shamsian 2024-04-03 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/lapisrocks/fedselect https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10658065
124 A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah, Weijia Wang, Bill Lin 2024-04-01 IEEE Transactions on Artificial Intelligence https://github.com/MMorafah/FedZoo-Bench https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10189084
125 No One Left Behind: Real-World Federated Class-Incremental Learning Jiahua Dong, Yang Cong, Gan Sun, Yulun Zhang, Bernt Schiele, Dengxin Dai 2024-04-01 IEEE Transactions on Pattern Analysis and Machine Intelligence https://github.com/JiahuaDong/LGA https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10323204
126 Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning Shangchao Su, Mingzhao Yang, Bin Li, Xiangyang Xue 2024-03-25 AAAI https://github.com/leondada/FedAPT https://doi.org/10.1609/aaai.v38i13.29434
127 Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang 2024-03-25 arXiv https://github.com/TAPPFL https://doi.org/10.48550/arXiv.2312.06989
128 Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective Zhen Qin, Feiyi Chen, Chen Zhi, Xueqiang Yan, Shuiguang Deng 2024-03-25 arXiv https://github.com/zhenqincn/Snowball https://doi.org/10.48550/arXiv.2309.16456
129 PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning Yuting Ma, Yuanzhi Yao, Xiaohua Xu 2024-03-25 arXiv https://github.com/ytingma/PPIDSG https://doi.org/10.48550/arXiv.2312.10380
130 Federated Learning with Extremely Noisy Clients via Negative Distillation Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang 2024-03-25 arXiv https://github.com/linChen99/FedNed https://doi.org/10.48550/arXiv.2312.12703
131 FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao 2024-03-25 AAAI https://github.com/TsingZ0/FedTGP https://doi.org/10.1609/aaai.v38i15.29617
132 FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing Yongzhe Jia, Xuyun Zhang, Amin Beheshti, Wanchun Dou 2024-03-25 AAAI https://github.com/jyzgh/FedLPS https://doi.org/10.1609/aaai.v38i11.29181
133 FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu 2024-03-25 arXiv https://github.com/lijichang/FLNL-FedDiv https://doi.org/10.48550/arXiv.2312.12263
134 Exploiting Label Skews in Federated Learning with Model Concatenation Yiqun Diao, Qinbin Li, Bingsheng He 2024-03-25 arXiv https://github.com/sjtudyq/FedConcat https://doi.org/10.48550/arXiv.2312.06290
135 Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart 2024-03-25 arXiv https://github.com/hasanmohsin/betaPredBayesFL https://doi.org/10.48550/arXiv.2312.09817
136 An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao 2024-03-23 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/TsingZ0/FedKTL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10658581
137 Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization Khiem Le, Long Ho, Cuong Do, Danh Le-Phuoc, Kok-Seng Wong 2024-03-22 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/lhkhiem28/gPerXAN https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10658093
138 Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Dinh Phung 2024-03-21 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/tmtuan1307/lander https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10656385
139 Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning Teppei Suzuki 2024-03-18 arXiv https://github.com/DensoITLab/Fed3DGS https://doi.org/10.48550/arXiv.2403.11460
140 FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation Yuxi Liu, Guibo Luo, Yuesheng Zhu 2024-03-08 arXiv https://github.com/LIU-YUXI/FedFMS http://arxiv.org/abs/2403.05408v1
141 FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models Younghan Lee, Yungi Cho, Woorim Han, Ho Bae, Yunheung Paek 2024-03-05 ESORICS https://github.com/201younghanlee/FLGuard https://doi.org/10.1007/978-3-031-51482-1_4
142 Towards Optimal Customized Architecture for Heterogeneous Federated Learning with Contrastive Cloud-Edge Model Decoupling Xingyan Chen, Tian Du, Mu Wang, Tiancheng Gu, Yu Zhao, Gang Kou, Changqiao Xu, Dapeng Oliver Wu 2024-03-04 arXiv https://github.com/elegy112138/FedCMD https://doi.org/10.48550/arXiv.2403.02360
143 EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning Di Wu, Rehmat Ullah, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese 2024-03-01 IEEE Transactions on Parallel and Distributed Systems https://github.com/blessonvar/EcoFed https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10380682
144 Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks Mahdi Morafah, Saeed Vahidian, Chen Chen, Mubarak Shah, Bill Lin 2024-03-01 IEEE Transactions on Artificial Intelligence https://github.com/MMorafah/FL-SC-NIID https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10174745
145 Memory-based optimization methods for model-agnostic meta-learning and personalized federated learning Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang 2024-03 The Journal of Machine Learning Research (JMLR), Volume 24, Issue 1 https://github.com/bokun-wang/moml https://dl.acm.org/doi/10.5555/3648699.3648844
146 Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Tianyi Zhang, Yu Cao, Dianbo Liu 2024-02-29 arXiv https://github.com/destiny301/uefl https://doi.org/10.48550/arXiv.2402.18888
147 CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models Abhishek Singh, Gauri Gupta, Ritvik Kapila, Yichuan Shi, Alex Dang, Sheshank Shankar, Mohammed Ehab, Ramesh Raskar 2024-02-25 arXiv https://mitmedialab.github.io/codream.github.io/ http://arxiv.org/abs/2402.15968v2
148 Fedkit: Enabling Cross-Platform Federated Learning for Android and iOS Sichang He, Beilong Tang, Boyan Zhang, Jiaoqi Shao, Xiaomin Ouyang, Daniel Nata Nugraha, Bing Luo 2024-02-16 IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) https://github.com/FedCampus/FedKit https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10620662
149 Evaluating Membership Inference Attacks and Defenses in Federated Learning Gongxi Zhu, Donghao Li, Hanlin Gu, Yuxing Han, Yuan Yao, Lixin Fan, Qiang Yang 2024-02-09 arXiv https://github.com/Liar-Mask/FedMIA https://doi.org/10.48550/arXiv.2402.06289
150 FedBoosting: Federated learning with gradient protected boosting for text recognition Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Yichuan Wang 2024-02-07 Neurocomputing https://github.com/Rand2AI/FedBoosting https://doi.org/10.1016/j.neucom.2023.127126
151 Federated Learning with New Knowledge: Fundamentals, Advances, and Futures Lixu Wang, Yang Zhao, Jiahua Dong, Ating Yin, Qinbin Li, Xiao Wang, Dusit Niyato, Qi Zhu 2024-02-03 arXiv https://github.com/conditionWang/FLNK https://doi.org/10.48550/arXiv.2402.02268
152 FedSarah: A Novel Low-Latency Federated Learning Algorithm for Consumer-Centric Personalized Recommendation Systems Zhiguo Qu, Jian Ding, Rutvij H. Jhaveri, Youcef Djenouri, Xin Ning, Prayag Tiwari 2024-02-01 IEEE Transactions on Consumer Electronics https://github.com/DashingJ-82/FedSarah https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10354460
153 Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning Huisi Wu, Baiming Zhang, Cheng Chen, Jing Qin 2024-02-01 IEEE Transactions on Medical Imaging https://github.com/zhangbaiming/FedSemiSeg https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10250843
154 Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning Wenke Huang, Mang Ye, Zekun Shi, Bo Du 2024-02-01 IEEE Transactions on Pattern Analysis and Machine Intelligence https://github.com/WenkeHuang/FCCL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10295990
155 Secure Federated Learning With Fully Homomorphic Encryption for IoT Communications Neveen Mohammad Hijazi, Moayad Aloqaily, Mohsen Guizani, Bassem Ouni, Fakhri Karray 2024-02-01 IEEE Internet of Things Journal https://github.com/Artifitialleap-MBZUAI/Secure-Federated-Learning-with-Fully-Homomorphic-Encryption-for-IoT-Communications https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10208145
156 FedCore: Straggler-Free Federated Learning with Distributed Coresets Hongpeng Guo, Haotian Gu, Xiaoyang Wang, Bo Chen, Eun Kyung Lee, Tamar Eilam, Deming Chen, Klara Nahrstedt 2024-01-31 ICC 2024 - IEEE International Conference on Communications https://github.com/hongpeng-guo/PedCore https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10622224
157 Spectral Co-Distillation for Personalized Federated Learning Zihan Chen, Howard H. Yang, Tony Q. S. Quek, Kai Fong Ernest Chong 2024-01-29 NeurIPS https://github.com/jimmyc96/spectral-dis-FL http://papers.nips.cc/paper_files/paper/2023/hash/1b86cf4b15cd83b6520d851eb7298228-Abstract-Conference.html
158 FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units Shaoheng Fang, Rui Ye, Wenhao Wang, Zuhong Liu, Yuxiao Wang, Yafei Wang, Siheng Chen, Yanfeng Wang 2024-01-23 IEEE Transactions on Intelligent Transportation Systems https://github.com/wwh0411/FedRSU https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10648899
159 Privacy-Preserving Individual-Level COVID-19 Infection Prediction via Federated Graph Learning Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang 2024-01-22 ACM Transactions on Information Systems (TOIS), Volume 42, Issue 3 https://github.com/wjfu99/FL-epidemic https://dl.acm.org/doi/10.1145/3633202
160 Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Networks Qiong Wu, Wenhua Wang, Pingyi Fan, Qiang Fan, Huiling Zhu, Khaled B. Letaief 2024-01-18 IEEE Transactions on Network and Service Management https://github.com/qiongwu86/Edge-Caching-Based-on-Multi-Agent-Deep-Reinforcement-Learning-and-Federated-Learning https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10536013
161 FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data Zikai Xiao, Zihan Chen, Liyinglan Liu, Yang Feng, Jian Wu, Wanlu Liu, Joey Tianyi Zhou, Howard Hao Yang, Zuozhu Liu 2024-01-17 arXiv https://github.com/ZackZikaiXiao/FedLoGe https://doi.org/10.48550/arXiv.2401.08977
162 Relaxed Contrastive Learning for Federated Learning Seonguk Seo, Jinkyu Kim, Geeho Kim, Bohyung Han 2024-01-10 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/skynbe/FedRCL: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10658073
163 Improving Transferability of Network Intrusion Detection in a Federated Learning Setup Shreya Ghosh, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal 2024-01-07 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) https://github.com/ghosh64/transferability https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10624761
164 Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification Ziyuan Yang, Andrew Beng Jin Teoh, Bob Zhang, Lu Leng, Yi Zhang 2024-01-01 arXiv https://github.com/Zi-YuanYang/PSFed-Palm https://doi.org/10.48550/arXiv.2308.00451
165 Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du, Qiang Yang 2024-01-01 IEEE Transactions on Pattern Analysis and Machine Intelligence https://github.com/WenkeHuang/MarsFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10571602
166 Federated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark Study Hongye Wang, Ruonan Li, Zenglin Xu, JinLong Li, Irwin King, Jie Liu 2024-01-01 2024 International Joint Conference on Neural Networks (IJCNN) https://github.com/FedVTP/FedVTP https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10650788
167 Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao 2024-01-01 ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) https://github.com/fedcome/fedcome https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10446892
168 Federated Multimodal and Multiresolution Graph Integration for Connectional Brain Template Learning Jia Ji, Islem Rekik 2024-01-01 DGM4MICCAI https://github.com/basiralab/Fed2M https://doi.org/10.1007/978-3-031-53767-7_2
169 GFS: Gradient-Based Fairness-Aware Client Selection for Federated Learning Z. Wang, D. Xiao, D. Yang, W. Wu 2024-01-01 2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA) https://github.com/SelectionStrategy/GFS_Strategy https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10569535
170 Guard-FL: An UMAP-Assisted Robust Aggregation for Federated Learning Anxiao Song, Haoshuo Li, Ke Cheng, Tao Zhang, Aijing Sun, Yulong Shen 2024-01-01 IEEE Internet of Things Journal https://github.com/XidianNSS/Guard-FL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10529118
171 Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning Yun-Hin Chan, Rui Zhou, Running Zhao, Zhihan Jiang, Edith C. -H. Ngai 2024-01-01 arXiv https://github.com/ChanYunHin/InCo-Aggregation https://doi.org/10.48550/arXiv.2308.11464
172 Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning Feng Wang, Senem Velipasalar, Mustafa Cenk Gursoy 2024-01-01 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) https://github.com/wfwf10/MKOR https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10484110
173 MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning Jin Hyuk Lim, SeungBum Ha, Sung Whan Yoon 2024-01-01 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) https://github.com/eepLearning/MetaVers https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10484206
174 Mitigation of Gradient Inversion Attacks in Federated Learning with Private Adaptive Optimization Cody Lewis, Vijay Varadharajan, Nasimul Noman, Udaya Kiran Tupakula, Nan Li 2024-01-01 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS) https://github.com/codymlewis/SecOpt https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10631001
175 Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran, Huy Hieu Pham, Kok-Seng Wong 2024-01-01 IEEE Transactions on Emerging Topics in Computing http://github.com/github.com/vinuni-vishc/PPPF-Cross-Silo-FL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10418075
176 Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning Xi Li, Chen Wu, Jiaqi Wang 2024-01-01 arXiv https://github.com/lixi1994/backdoor_FM_hete_FL https://doi.org/10.48550/arXiv.2311.18350
177 Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment Felix Wagner, Zeju Li, Pramit Saha, Konstantinos Kamnitsas 2024-01-01 MLMI@MICCAI https://github.com/FelixWag/StarAlign https://doi.org/10.1007/978-3-031-45676-3_26
178 Replica-Based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution Ramona Ghilea, Islem Rekik 2024-01-01 MLMI@MICCAI https://github.com/basiralab/RepFL https://doi.org/10.1007/978-3-031-45676-3_28
179 RoseAgg: Robust Defense Against Targeted Collusion Attacks in Federated Learning He Yang, Wei Xi, Yuhao Shen, Canhui Wu, Jizhong Zhao 2024-01-01 IEEE Transactions on Information Forensics and Security https://github.com/SleepedCat/RoseAgg https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10387506
180 Semi-Asynchronous Federated Learning with Trajectory Prediction for Vehicular Edge Computing Yuxuan Deng, Xiuhua Li, Chuan Sun, Qilin Fan, Xiaofei Wang, Victor C. M. Leung 2024-01-01 2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS) https://github.com/dyxcode/Semi-Asynchronous-Federated-Learning https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10682953
181 Subgraph Federated Learning with Global Graph Reconstruction Zhi Liu, Hanlin Zhou, Feng Xia, Guojiang Shen, Vidya Saikrishna, Xiaohua He, Jiaxin Du, Xiangjie Kong 2024-01-01 Web and Big Data https://github.com/poipoipoi233/FedGGR http://dx.doi.org/10.1007/978-981-97-2303-4_11
182 UPFL: Unsupervised Personalized Federated Learning towards New Clients Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao 2024-01-01 arXiv https://github.com/anonymous-federated-learning/code https://doi.org/10.48550/arXiv.2307.15994
183 Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data Tailin Zhou, Zehong Lin, Jun Zhang, Danny H. K. Tsang 2024-01-01 IEEE Transactions on Mobile Computing https://github.com/TailinZhou/FedIMA https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10540229
184 FedLSF: Federated Local Graph Learning via Specformers Ram Samarth BB, Annappa B, Sachin D. N 2024-01-01 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) https://github.com/achiverram28/FedLSF-DCOSS https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10621457
185 Use of Federated Learning for Personal Smart Media Cloud Solutions B. Kumarage, H. Harankahadeniya, A. Induranga, I. Perera, K. Gunasekera 2024-01-01 2024 Moratuwa Engineering Research Conference (MERCon) https://github.com/PicsSmart https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10688883
186 VFLAIR: A Research Library and Benchmark for Vertical Federated Learning Tianyuan Zou, Zixuan Gu, Yu He, Hideaki Takahashi, Yang Liu, Guangnan Ye, Ya-Qin Zhang 2024-01-01 arXiv https://github.com/FLAIR-THU/VFLAIR https://doi.org/10.48550/arXiv.2310.09827
187 WeightRelay: Efficient Heterogeneous Federated Learning on Time Series Wensi Tang, Guodong Long 2024-01-01 AI https://github.com/Wensi-Tang/DPSN/blob/master/AJCAI23_wensi_fedTSC.pdf https://doi.org/10.1007/978-981-99-8388-9_11
188 FedPKR: Federated Learning With Non-IID Data Via Periodic Knowledge Review in Edge Computing J. Wang, R. Wang, G. Xu, D. He, X. Pei, F. Zhang, J. Gan 2024-01-01 IEEE Transactions on Sustainable Computing https://github.com/jbwangnb/FedPKR https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10461059
189 FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering Yongxin Guo, Xiaoying Tang, Tao Lin 2024-01-01 ICML https://github.com/LINs-lab/FedRC https://openreview.net/forum?id=kc4dZYJlJG
190 FedGR: Genetic Algorithm and Relay Strategy Based Federated Learning Yifei Zeng, Kai Zhao, Fangchao Yu, Bo Zeng, Zhi Pang, Lina Wang 2024-01-01 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) https://github.com/zyfhylyh/FedGR https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10580045
191 Demo: Visualizing the Shadows: Unveiling Data Poisoning Behaviors in Federated Learning Xueqing Zhang, Junkai Zhang, Ka-Ho Chow, Juntao Chen, Ying Mao, Mohamed Rahouti, Xiang Li, Yuchen Liu, Wenqi Wei 2024-01-01 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS) https://github.com/CathyXueqingZhang/DataPoisoningVis https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10631025
192 A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning Yuanqin He, Yan Kang, Xinyuan Zhao, Jiahuan Luo, Lixin Fan, Yuxing Han, Qiang Yang 2024-01-01 IEEE Transactions on Big Data https://github.com/jorghyq2016/FedHSSL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10535420
193 A Robust Detection and Correction Framework for GNN-Based Vertical Federated Learning Zhicheng Yang, Xiaoliang Fan, Zheng Wang, Zihui Wang, Cheng Wang 2024-01-01 PRCV https://github.com/zcyang-cs/RDC-GVFL https://doi.org/10.1007/978-981-99-8435-0_8
194 ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations Xinpeng Ling, Jie Fu, Kuncan Wang, Haitao Liu, Zhili Chen 2024-01-01 2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) https://github.com/KnightWan/ALI-DPFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10579181
195 Aggregation-Assisted Proxyless Distillation: A Novel Approach for Handling System Heterogeneity in Federated Learning Nirbhay Sharma, Mayank Raj, Deepak Mishra 2024-01-01 2024 International Joint Conference on Neural Networks (IJCNN) https://github.com/nirbhay-design/FedAgPD https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10650564
196 ArtFL: Exploiting Data Resolution in Federated Learning for Dynamic Runtime Inference via Multi-Scale Training Siyang Jiang, Xian Shuai, Guoliang Xing 2024-01-01 2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) https://github.com/siyang-jiang/ArtFL.git.CCS https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10577356
197 Attentive Modeling and Distillation for Out-of-Distribution Generalization of Federated Learning Zhuang Qi, Weihao He, Xiangxu Meng, Lei Meng 2024-01-01 2024 IEEE International Conference on Multimedia and Expo (ICME) https://github.com/qizhuang-qz/FedAKD https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10687423
198 BM-FL: A Balanced Weight Strategy for Multi-stage Federated Learning Against Multi-client Data Skewing Lixiang Yuan, Mingxing Duan, Guoqing Xiao, Zhuo Tang, Kenli Li 2024-01-01 IEEE Transactions on Knowledge and Data Engineering https://github.com/ylxzjy/BMFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10458321
199 BOBA: Byzantine-Robust Federated Learning with Label Skewness Wenxuan Bao, Jun Wu, Jingrui He 2024-01-01 arXiv https://github.com/baowenxuan/BOBA https://doi.org/10.48550/arXiv.2208.12932
200 Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning Shenghui Li, Edith C. H. Ngai, Fanghua Ye, Li Ju, Tianru Zhang, Thiemo Voigt 2024-01-01 2024 IEEE/ACM Ninth International Conference on Internet-of-Things Design and Implementation (IoTDI) https://github.com/lishenghui/blades https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10562176
201 Cross-Modal Vertical Federated Learning for MRI Reconstruction Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng 2024-01-01 IEEE Journal of Biomedical and Health Informatics https://github.com/IAMJackYan/FedCRFD https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10417111
202 Defending Against Data and Model Backdoor Attacks in Federated Learning H. Wang, X. Mu, D. Wang, Q. Xu, K. Li 2024-01-01 IEEE Internet of Things Journal https://github.com/whwh456/TSF https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10559965
203 Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Quyang Pan, Tianliu He, Xuefeng Jiang 2024-01-01 IEEE INFOCOM 2024 - IEEE Conference on Computer Communications https://github.com/wuzhiyuan2000/FedAgg https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10621254
204 Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra 2024-01-01 arXiv https://github.com/redakhoufache/DisCGS https://doi.org/10.48550/arXiv.2312.11169
205 FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Wen Wang, Xuefeng Jiang, Bo Gao, Jinda Lu 2024-01-01 IEEE Transactions on Mobile Computing https://github.com/wuzhiyuan2000/FedCache https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10420495
206 FedFusion: Manifold-Driven Federated Learning for Multi-Satellite and Multi-Modality Fusion Daixun Li, Weiying Xie, Yunsong Li, Leyuan Fang 2024-01-01 IEEE Transactions on Geoscience and Remote Sensing https://github.com/LDXDU/FedFusion https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10342879
207 FADngs: Federated Learning for Anomaly Detection B. Dong, D. Chen, Y. Wu, S. Tang, Y. Zhuang 2024-01-01 IEEE Transactions on Neural Networks and Learning Systems https://github.com/kanade00/Federated_Anomaly_detection https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10409269
208 FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification Tianpeng Deng, Yanqi Huang, Zhenwei Shi, Jiatai Lin, Qi Dou, Ke Zhao, Fang-Fang Liu, Yu-Mian Jia, Jin Wang, Bingchao Zhao, Changhong Liang, Zaiyi Liu, Xiao-jing Guo, Guoqiang Han, Xin Chen, Chu Han 2024-01-01 IEEE Transactions on Cybernetics https://github.com/tianpeng-deng/FedDBL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10572001
209 FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri 2024-01-01 arXiv https://github.com/APPFL/FedCompass https://doi.org/10.48550/arXiv.2309.14675
210 FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato 2024-01-01 Comput. Vis. Image Underst. https://github.com/perceivelab/FedER https://doi.org/10.1016/j.cviu.2023.103882
211 FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems Rui Song, Runsheng Xu, Andreas Festag, Jiaqi Ma, Alois C. Knoll 2024-01-01 IEEE Transactions on Intelligent Vehicles https://github.com/rruisong/FedBEVT https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10236488
212 Fed-MS: Fault Tolerant Federated Edge Learning with Multiple Byzantine Servers Senmao Qi, Hao Ma, Yifei Zou, Yuan Yuan, Peng Li, Dongxiao Yu 2024-01-01 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS) https://github.com/haoma2772/Fed-MS https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10631004
213 FLTracer: Accurate Poisoning Attack Provenance in Federated Learning Xinyu Zhang, Qingyu Liu, Zhongjie Ba, Yuan Hong, Tianhang Zheng, Feng Lin, Li Lu, Kui Ren 2024-01-01 IEEE Transactions on Information Forensics and Security https://github.com/Eyr3/FLTracer https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10549523
214 FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting Through Knowledge Distillation Guanqun Sun, Han Shu, Feihe Shao, Teeradaj Racharak, Weikun Kong, Yizhi Pan, Jingjing Dong, Shuang Wang, Le-Minh Nguyen, Junyi Xin 2024-01-01 IEEE Access https://github.com/SUN-1024/FKD-Med https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10456909
215 HGTA: News Recommendation Based on Hierarchical Granular Semantic Embeddings and Threshold Attention Y. Li, Z. Yang, Z. Li, X. Li 2024 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) https://github.com/liyiweneven/HGTA https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10580511
216 Recommendation of Electronic Mobile Gadgets Using Infused Decision Score With Mobile Radiation and Federated Sentiment Score A. Kanapala, S. Dara, J. Sreedhar, A. Vidyarthi, D. Gupta, P. Gupta 2024 IEEE Transactions on Consumer Electronics https://github.com/AnkitVidyarthi/Recommendation https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10382180
217 Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye, Xiuwen Fang, Bo Du, Pong C. Yuen, Dacheng Tao 2024 ACM Computing Surveys (CSUR), Volume 56, Issue 3 https://github.com/marswhu/HFL_Survey https://dl.acm.org/doi/10.1145/3625558
218 Hide Your Model: A Parameter Transmission-free Federated Recommender System Wei Yuan, Chaoqun Yang, Liang Qu, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin 2024 2024 IEEE 40th International Conference on Data Engineering (ICDE) https://github.com/hi-weiyuan/PTF-FedRec https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10597708
219 Improving Plasticity in Online Continual Learning via Collaborative Learning M. Wang, N. Michel, L. Xiao, T. Yamasaki 2024 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/maorong-wang/CCL-DC https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10656781
220 Labels Are Culprits: Defending Gradient Attack on Privacy Z. Li, L. Wang, Z. Gu, Y. Lv, Z. Tian 2024 IEEE Internet of Things Journal https://github.com/zhaohuali/Label-based-Defense https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10252047
221 Meta-Knowledge Enhanced Data Augmentation for Federated Person Re-Identification C. Song, X. Chen, W. Zhu, Y. Zhou, X. Gu, B. Li 2024 ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) https://github.com/songchunli1999/MEDA https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10447543
222 Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar 2024 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/NVlabsIPerAda https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10656007
223 Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory Naoki Masuyama, Yusuke Nojima, Yuichiro Toda, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota 2024 IEEE Access https://github.com/Masuyama-lab/FCAC https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10689590
224 Towards Building The Federatedgpt: Federated Instruction Tuning Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Yufan Zhou, Guoyin Wang, Yiran Chen 2024 ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) https://github.com/JayZhang42/FederatedGPT-Shepherd https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10447454
225 Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss Tuong Do, Binh X. Nguyen, Hien Nguyen, Erman Tjiputra, Quang D. Tran, Te-Chuan Chiu, Anh Nguyen 2024 2024 IEEE International Conference on Robotics and Automation (ICRA) https://github.com/aioz-ai/CDL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10611202
226 Reliable Federated Disentangling Network for Non-IID Domain Feature Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Yong Liu, Huazhu Fu 2024 IEEE Transactions on Big Data https://github.com/LooKing9218/RFedDis https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10587114
227 SHELOB-FFL: addressing Systems HEterogeneity with LOcally Backpropagated Forward-Forward Learning S. Izzo, F. Giampaolo, D. Chiaro, F. Piccialli 2024 2024 IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW) https://github.com/MODALUNINA/SHELOB_FFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10661016
228 Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia, Kwang-Ting Cheng 2024 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/JiayiChen815/FEAL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10656006
229 Towards More Effective and Transferable Poisoning Attacks against Link Prediction on Graphs B. Tian, L. Zang, H. Fu, J. Han, S. Hu 2024 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) https://github.com/anonymousaccept/STAA https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10580418
230 Traceable Federated Continual Learning Qiang Wang, Bingyan Liu, Yawen Li 2024 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/POwerWeirdo/TagFCL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10658168
231 Triple GNNs: Introducing Syntactic and Semantic Information for Conversational Aspect-Based Quadruple Sentiment Analysis B. Li, Y. Li, S. Jia, B. Ma, Y. Ding, Z. Qi, X. Tan, M. Guo, S. Liu 2024 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) https://github.com/ https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10580730
232 Understanding the Role of Layer Normalization in Label-Skewed Federated Learning Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen 2024 Trans. Mach. Learn. Res. https://github.com/huawei-noah/Federated-Learning/tree/main/Layer_Normalization https://openreview.net/forum?id=6BDHUkSPna
233 Fine-grained classification for aero-engine borescope images based on the fusion of local and global features R. Huang, J. Zeng, X. Cheng, J. Wei 2024 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) https://github.com/LonelyProceduralApe/LG_fusion https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10580812
234 GI-PIP: Do We Require Impractical Auxiliary Dataset for Gradient Inversion Attacks? Y. Sun, G. Xiong, X. Yao, K. Ma, J. Cui 2024 ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) https://github.com/D1aoBoomm/GI-PIP https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10445924
235 Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline A. Al-lahham, M. Z. Zaheer, N. Tastan, K. Nandakumar 2024 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/AnasEmadllICLAP https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10658335
236 Fedsoda: Federated Cross-Assessment and Dynamic Aggregation for Histopathology Segmentation Yuan Zhang, Yaolei Qi, Xiaoming Qi, Lotfi Senhadji, Yongyue Wei, Feng Chen, Guanyu Yang 2024 ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) https://github.com/yuanzhang7/FedSODA https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10447912
237 Decentralized Landslide Disaster Prediction for Imbalanced and Distributed Data R. Ozeki, H. Yonekura, H. Rizk, H. Yamaguchi 2024 2024 IEEE International Conference on Pervasive Computing and Communications (PerCom) https://github.com/mclab-osaka/slidesafe https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10494417
238 A Federated Graph to Embedding Approach for Knowledge Graph Completion H. Sun, X. Bi, D. Sui, Z. Tu 2024 ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) https://github.com/s460305450/FedGE https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10446731
239 A Riemannian Augmented Lagrangian Method for Structured Sparse PCA C. Huang, P. Shang, X. Xiu 2024 2024 43rd Chinese Control Conference (CCC) https://github.com/ChenyiHuang23 https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10661785
240 AEDD:Anomaly Edge Detection Defense for Visual Recognition in Autonomous Vehicle Systems L. Wang, J. Zhou, D. Zhao, D. Liao, M. Wang, J. Xiang 2024 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) https://github.com/drtt438/AEDD https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10580267
241 Backdoor Learning: A Survey Y. Li, Y. Jiang, Z. Li, S. -T. Xia 2024 IEEE Transactions on Neural Networks and Learning Systems https://github.com/THUYimingLi/backdoor-learning-resources https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9802938
242 CAFI: News Recommendation with Candidate Perception of Fine-Grained Interaction Information Y. Li, Z. Yang, X. Li, Z. Li 2024 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) https://github.com/liyiweneven/CAFI https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10580786
243 Federated Learning with Convex Global and Local Constraints Chuan He, Le Peng, Ju Sun 2024 Trans. Mach. Learn. Res. https://github.com/PL97/Constr_FL https://openreview.net/forum?id=qItxVbWyfe
244 Communication-Efficient Federated Learning with Accelerated Client Gradient Geeho Kim, Jinkyu Kim, Bohyung Han 2024 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/geehokim/FedACG: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10656666
245 Data Valuation and Detections in Federated Learning Wenqian Li, Shuran Fu, Fengrui Zhang, Yan Pang 2024 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/muz1lee/MOTdata https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10656892
246 CDQKL: Consensus-Based Distributed Quantum Kernel Learning W. Ma, M. Liu, R. Deng 2024 2024 International Conference on Quantum Communications, Networking, and Computing (QCNC) https://github.com/Leisurivan/CDOKL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10628264
247 Deep Class-Incremental Learning From Decentralized Data X. Zhang, S. Dong, J. Chen, Q. Tian, Y. Gong, X. Hong 2024 IEEE Transactions on Neural Networks and Learning Systems https://github.com/Vision-Intelligence-and-Robots-Group/DCIL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9932643
248 Efficient LWPooling: Rethinking the Wavelet Pooling for Scene Parsing Y. Yang, L. Jiao, X. Liu, L. Li, F. Liu, S. Yang, X. Zhang 2024 IEEE Transactions on Circuits and Systems for Video Technology https://github.com/yutinyang/LWCNet https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10485451
249 FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan L. Yuille, Cihang Xie, Yuyin Zhou 2024 arXiv https://github.com/UCSC-VLAA/FedConv https://doi.org/10.48550/arXiv.2310.04412
250 FedDP: Dual Personalization in Federated Medical Image Segmentation J. Wang, Y. Jin, D. Stoyanov, L. Wang 2024 IEEE Transactions on Medical Imaging https://github.com/jcwang123/PFL-Seg-Trans https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10194959
251 FedIOD: Federated Multi-Organ Segmentation From Partial Labels by Exploring Inter-Organ Dependency Q. Wan, Z. Yan, L. Yu 2024 IEEE Journal of Biomedical and Health Informatics https://github.com/vagabond-healer/FedIOD https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10487890
252 FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz 2024 Proc. Priv. Enhancing Technol. https://github.com/a514514772/FedLAP-DP https://doi.org/10.56553/popets-2024-0083
253 FedOSS: Federated Open Set Recognition via Inter-Client Discrepancy and Collaboration M. Zhu, J. Liao, J. Liu, Y. Yuan 2024 IEEE Transactions on Medical Imaging https://github.com/CityU-AIM-Group/FedOSS https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10177875
254 FedTP: Federated Learning by Transformer Personalization Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi 2024 IEEE Transactions on Neural Networks and Learning Systems https://github.com/zhyczy/FedTP https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10130784
255 Federated Generalized Category Discovery N. Pu, W. Li, X. Ji, Y. Qin, N. Sebe, Z. Zhong 2024 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/TPCD/FedGCD https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10655031
256 Replica Tree-based Federated Learning using Limited Data Ramona Ghilea, Islem Rekik 2023-12-28 arXiv https://github.com/basiralab/RepTreeFL https://doi.org/10.48550/arXiv.2312.17159
257 Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast Guangyin Bao, Qi Zhang, Duoqian Miao, Zixuan Gong, Liang Hu, Ke Liu, Yang Liu, Chongyang Shi 2023-12-21 arXiv https://github.com/BaoGuangYin/PmcmFL https://doi.org/10.48550/arXiv.2312.13508
258 FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise Nannan Wu, Zhaobin Sun, Zengqiang Yan, Li Yu 2023-12-20 arXiv https://github.com/wnn2000/FedAAAI http://arxiv.org/abs/2312.12838v2
259 Language-Guided Transformer for Federated Multi-Label Classification I-Jieh Liu, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang 2023-12-12 arXiv https://github.com/Jack24658735/FedLGT http://arxiv.org/abs/2312.07165v1
260 Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng 2023-12-11 arXiv https://github.com/alibaba/FederatedScope/tree/FedKSeed http://arxiv.org/abs/2312.06353v5
261 Fed-urlBERT: Client-side Lightweight Federated Transformers for URL Threat Analysis Yujie Li, Yanbin Wang, Haitao Xu, Zhenhao Guo, Fan Zhang, Ruitong Liu, Wenrui Ma 2023-12-06 arXiv https://github.com/Davidup1/FedURLBERT http://arxiv.org/abs/2312.03636v1
262 Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen 2023-12-03 arXiv https://github.com/FedDG23/FedDG-main https://doi.org/10.48550/arXiv.2312.01537
263 FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings Jean Ogier du Terrail, Quentin Klopfenstein, Honghao Li, Imke Mayer, Nicolas Loiseau, Mohammad Hallal, Félix Balazard, Mathieu Andreux 2023-11-28 arXiv https://github.com/owkin/fedeca http://arxiv.org/abs/2311.16984v2
264 VeryFL: A Verify Federated Learning Framework Embedded with Blockchain Yihao Li, Yanyi Lai, Chuan Chen, Zibin Zheng 2023-11-27 arXiv https://github.com/GTMLLab/VeryFL https://doi.org/10.48550/arXiv.2311.15617
265 Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan 2023-11-25 NeurIPS https://github.com/TsingZ0/DBE http://papers.nips.cc/paper_files/paper/2023/hash/2e0d3c6ad1a4d85bef3cfe63af58bc76-Abstract-Conference.html
266 FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients Shangchao Su, Bin Li, Xiangyang Xue 2023-11-19 arXiv https://github.com/leondada/FedRA http://arxiv.org/abs/2311.11227v2
267 Tunable Soft Prompts are Messengers in Federated Learning Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li 2023-11-12 EMNLP https://github.com/alibaba/FederatedScope/tree/fedsp/federatedscope/nlp/fedsp https://doi.org/10.18653/v1/2023.findings-emnlp.976
268 Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces Aditya Desai, Benjamin Meisburger, Zichang Liu, Anshumali Shrivastava 2023-11-03 arXiv https://github.com/apd10/FLCF http://arxiv.org/abs/2311.01722v1
269 Consumer-Centric Internet of Medical Things for Cyborg Applications Based on Federated Reinforcement Learning Prayag Tiwari, Abdullah Lakhan, Rutvij H. Jhaveri, Tor-Morten Grønli 2023-11-01 IEEE Transactions on Consumer Electronics https://github.com/prayagtiwari/CIoMT https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10040613
270 Federated Learning With Taskonomy for Non-IID Data Hadi Jamali Rad, Mohammad Abdizadeh, Attila Szabó 2023-11-01 IEEE Transactions on Neural Networks and Learning Systems https://github.com/hjraad/FLT/ https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9739132
271 Modeling Global Distribution for Federated Learning with Label Distribution Skew Tao Sheng, Chengchao Shen, Yuan Liu, Yeyu Ou, Zhe Qu, Yixiong Liang, Jianxin Wang 2023-11-01 arXiv https://github.com/Sheng-T/FedMGD https://doi.org/10.48550/arXiv.2212.08883
272 A Survey of Federated Unlearning: A Taxonomy, Challenges and Future Directions Yang Zhao, Jiaxi Yang, Yiling Tao, Lixu Wang, Xiaoxiao Li, Dusit Niyato 2023-10-30 arXiv https://github.com/abbottyanginchina/Awesome-Federated-Unlearning http://arxiv.org/abs/2310.19218v3
273 Adaptive Test-Time Personalization for Federated Learning Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He 2023-10-28 NeurIPS https://github.com/baowenxuan/ATP http://papers.nips.cc/paper_files/paper/2023/hash/f555b62384279b98732204cb1a670a23-Abstract-Conference.html
274 Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data Zhuang Qi, Lei Meng, Zitan Chen, Han Hu, Hui Lin, Xiangxu Meng 2023-10-26 ACM Multimedia https://github.com/qizhuang-qz/FedCSPC https://doi.org/10.1145/3581783.3612481
275 Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou 2023-10-23 EMNLP https://github.com/llm-eff/FedPepTAO https://doi.org/10.18653/v1/2023.emnlp-main.488
276 Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition Sara Pieri, Jose Renato Restom, Samuel Horvath, Hisham Cholakkal 2023-10-23 arXiv https://github.com/sarapieri/fed_het http://arxiv.org/abs/2310.15165v1
277 Whole-brain radiomics for clustered federated personalization in brain tumor segmentation Matthis Manthe, Stefan Duffner, Carole Lartizien 2023-10-17 MIDL 2023 Poster https://github.com/MatthisManthe/radiomics_CFFL http://arxiv.org/abs/2310.11480v1
278 FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models Tao Fan, Yan Kang, Guoqiang Ma, Weijing Chen, Wenbin Wei, Lixin Fan, Qiang Yang 2023-10-16 arXiv https://github.com/FederatedAI/FATE-LLM https://doi.org/10.48550/arXiv.2310.10049
279 FedNAR: Federated Optimization with Normalized Annealing Regularization Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang 2023-10-04 Thirty-seventh Conference on Neural Information Processing Systems, 2023 https://github.com/ljb121002/fednar http://arxiv.org/abs/2310.03163v1
280 FedAWARE: Maximizing Gradient Diversity for Heterogeneous Federated Server-side Optimization Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang 2023-10-04 arXiv https://github.com/dunzeng/FedAWARE http://arxiv.org/abs/2310.02702v3
281 FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things Samiul Alam, Tuo Zhang, Tiantian Feng, Hui Shen, Zhichao Cao, Dong Zhao, JeongGil Ko, Kiran Somasundaram, Shrikanth S. Narayanan, Salman Avestimehr, Mi Zhang 2023-09-29 arXiv https://github.com/AIoT-MLSys-Lab/FedAIoT https://doi.org/10.48550/arXiv.2310.00109
282 FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving Eros Fanì, Marco Ciccone, Barbara Caputo 2023-09-23 arXiv https://feddrive.github.io http://arxiv.org/abs/2309.13336v2
283 FedJudge: Federated Legal Large Language Model Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao 2023-09-15 arXiv https://github.com/yuelinan/FedJudge http://arxiv.org/abs/2309.08173v3
284 FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization Qianyu Long, Christos Anagnostopoulos, Shameem Puthiya Parambath, Daning Bi 2023-09-13 ICDM https://github.com/EricLoong/feddip https://doi.org/10.1109/ICDM58522.2023.00146
285 Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments Simon Queyrut, Valerio Schiavoni, Pascal Felber 2023-09-13 2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS) https://github.com/queyrusi/Pelta https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10272529
286 Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning Zebang Shen, Jiayuan Ye, Anmin Kang, Hamed Hassani, Reza Shokri 2023-09-11 ICLR https://github.com/shenzebang/CENTAUR-Privacy-Federated-Representation-Learning https://openreview.net/pdf?id=oJpVVGXu9i
287 FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning Felix Sattler, Tim Korjakow, Roman Rischke, Wojciech Samek 2023-09-01 IEEE Transactions on Neural Networks and Learning Systems https://github.com/fedl-repo/fedaux https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9632275
288 MrTF: model refinery for transductive federated learning Xin-Chun Li, Yang Yang, De-Chuan Zhan 2023-09-01 Data Min. Knowl. Discov. https://github.com/lxcnju/MrTF https://doi.org/10.1007/s10618-023-00946-4
289 CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction Umar Khalid, Hasan Iqbal, Saeed Vahidian, Jing Hua, Chen Chen 2023-08-29 IROS https://github.com/umarkhalidAI/CEFHRI-Efficient-Federated-Learning https://doi.org/10.1109/IROS55552.2023.10341467
290 Generalizable Learning Reconstruction for Accelerating MR Imaging via Federated Neural Architecture Search Ruoyou Wu, Cheng Li, Juan Zou, Shanshan Wang 2023-08-27 arXiv https://github.com/ternencewu123/GAutoMRI http://arxiv.org/abs/2308.13995v1
291 Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment Lucia Morris, Tori Qiu, Nikhil Raghuraman 2023-08-22 arXiv https://github.com/toriqiu/fl-pcos https://doi.org/10.48550/arXiv.2308.11220
292 FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection Naif Alkhunaizi, Koushik Srivatsan, Faris Almalik, Ibrahim Almakky, Karthik Nandakumar 2023-08-20 IJCB https://github.com/Naiftt/FedSIS https://doi.org/10.1109/IJCB57857.2023.10448785
293 FedPop: Federated Population-based Hyperparameter Tuning Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp 2023-08-16 arXiv https://github.com/HaokunChen245/FedPop http://arxiv.org/abs/2308.08634v2
294 Federated Learning Hyperparameter Tuning From a System Perspective Huanle Zhang, Lei Fu, Mi Zhang, Pengfei Hu, Xiuzhen Cheng, Prasant Mohapatra, Xin Liu 2023-08-15 IEEE Internet of Things Journal https://github.com/DataSysTech/FedTune https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10064046
295 ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data Pochuan Wang, Chen Shen, Weichung Wang, Masahiro Oda, Chiou-Shann Fuh, Kensaku Mori, Holger R. Roth 2023-08-08 ISIC/Care-AI/MedAGI/DeCaF@MICCAI https://github.com/NVIDIA/NVFlare/tree/dev/research/condist-fl https://doi.org/10.1007/978-3-031-47401-9_30
296 FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan 2023-08-06 KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining https://github.com/TsingZ0/FedCP https://dl.acm.org/doi/10.1145/3580305.3599345
297 FedMultimodal: A Benchmark for Multimodal Federated Learning Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan 2023-08-06 KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining https://github.com/usc-sail/fed-multimodal https://dl.acm.org/doi/10.1145/3580305.3599825
298 Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng 2023-08-06 KDD https://github.com/alibaba/FederatedScope/tree/backdoor-bench https://doi.org/10.1145/3580305.3599898
299 PoE: Poisoning Enhancement Through Label Smoothing in Federated Learning Haibin Zheng, Tao Liu, Rongchang Li, Jinyin Chen 2023-08-01 IEEE Transactions on Circuits and Systems II: Express Briefs https://github.com/Leon022/poisoning_enhancement https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10061375
300 You Can Backdoor Personalized Federated Learning Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao 2023-07-29 arXiv https://github.com/BapFL/code https://doi.org/10.48550/arXiv.2307.15971
301 Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li 2023-07-27 arXiv https://github.com/xmed-lab/Fed-MAS http://arxiv.org/abs/2307.14959v1
302 Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging Meirui Jiang, Yuan Zhong, Anjie Le, Xiaoxiao Li, Qi Dou 2023-07-24 arXiv https://github.com/med-air/Client-DP-FL http://arxiv.org/abs/2307.12542v2
303 FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li 2023-07-20 MICCAI https://github.com/ubc-tea/FedSoup https://doi.org/10.1007/978-3-031-43895-0_30
304 Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary Charles, Nicole Mitchell, Krishna Pillutla, Michael Reneer, Zachary Garrett 2023-07-18 NeurIPS https://github.com/google-research/dataset_grouper http://papers.nips.cc/paper_files/paper/2023/hash/662bb9c4dcc96aeaac8e7cd3fc6a0add-Abstract-Datasets_and_Benchmarks.html
305 Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai, Saurabh Bagchi, David I. Inouye 2023-07-11 Submitted to ICLR 2023 https://github.com/inouye-lab/FedDG_Benchmark http://arxiv.org/abs/2307.04942v2
306 Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan, Qinbin Li, Linshan Jiang, Bingsheng He 2023-07-05 arXiv https://github.com/morningD/Towards-Open-Federated-Learning-Platforms-Survey/blob/main/TKDE-Tex/APPENDIX.pdf https://doi.org/10.48550/arXiv.2307.02140
307 Do Gradient Inversion Attacks Make Federated Learning Unsafe? Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth 2023-07-01 IEEE Transactions on Medical Imaging https://nvidia.github.io/NVFlare/research/quantifying-data-leakage https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10025466
308 FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, Kwang-Ting Cheng 2023-07-01 IEEE Transactions on Medical Imaging https://github.com/Jwicaksana/FedMix https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10004567
309 Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou 2023-07-01 IEEE Transactions on Medical Imaging https://github.com/rui-yan/SSL-FL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10004993
310 One-shot Federated Learning without Server-side Training Shangchao Su, Bin Li, Xiangyang Xue 2023-07-01 arXiv https://github.com/FudanVI/MAEcho https://doi.org/10.48550/arXiv.2204.12493
311 Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks Wanli Ni, Jingheng Zheng, Hui Tian 2023-07-01 IEEE Internet of Things Journal https://github.com/niwanli/SemiFL_IoT https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10064038
312 Specificity-Preserving Federated Learning for MR Image Reconstruction Chun-Mei Feng, Yunlu Yan, Shanshan Wang, Yong Xu, Ling Shao, Huazhu Fu 2023-07-01 IEEE Transactions on Medical Imaging https://github.com/chunmeifeng/FedMRI https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9868072
313 Improving Federated Aggregation with Deep Unfolding Networks Shanika I Nanayakkara, Shiva Raj Pokhrel, Gang Li 2023-06-30 arXiv https://github.com/shanikairoshi/Improved_DUN_basedFL_Aggregation http://arxiv.org/abs/2306.17362v1
314 DPAUC: Differentially Private AUC Computation in Federated Learning Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang 2023-06-27 arXiv https://github.com/bytedance/fedlearner/tree/master/example/privacy/DPAUC https://doi.org/10.48550/arXiv.2208.12294
315 Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin 2023-06-27 arXiv https://github.com/MMorafah/PACFL https://doi.org/10.48550/arXiv.2209.10526
316 FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar 2023-06-26 MICCAI https://github.com/faresmalik/FeSViBS https://doi.org/10.1007/978-3-031-43895-0_33
317 FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu 2023-06-20 arXiv https://github.com/SMILELab-FL/FedNoisy https://doi.org/10.48550/arXiv.2306.11650
318 Personalized Federated Learning with Feature Alignment and Classifier Collaboration Jian Xu, Xinyi Tong, Shao-Lun Huang 2023-06-20 ICLR https://github.com/JianXu95/FedPAC https://openreview.net/pdf?id=SXZr8aDKia
319 Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network Fan Liu, Siqi Lai, Yansong Ning, Hao Liu 2023-06-17 arXiv https://github.com/usail-hkust/BkdFedGCN http://arxiv.org/abs/2306.10351v1
320 A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation Ronast Subedi, Rebati Raman Gaire, Sharib Ali, Anh Nguyen, Danail Stoyanov, Binod Bhattarai 2023-06-14 DEMI@MICCAI https://github.com/thetna/distributed-da https://doi.org/10.1007/978-3-031-44992-5_3
321 Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti 2023-06-12 FAccT https://github.com/healthylaife/FairFedAvg https://doi.org/10.1145/3593013.3594102
322 GPT-FL: Generative Pre-trained Model-Assisted Federated Learning Tuo Zhang, Tiantian Feng, Samiul Alam, Dimitrios Dimitriadis, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr 2023-06-03 arXiv https://github.com/AvestimehrResearchGroup/GPT-FL https://doi.org/10.48550/arXiv.2306.02210
323 Fed-HANet: Federated Visual Grasping Learning for Human Robot Handovers Ching-I Huang, Yu-Yen Huang, Jie-Xin Liu, Yu-Ting Ko, Hsueh-Cheng Wang, Kuang-Hsing Chiang, Lap-Fai Yu 2023-06-01 IEEE Robotics and Automation Letters https://arg-nctu.github.io/projects/fed-hanet.html https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10109097
324 FedRadar: Federated Multi-Task Transfer Learning for Radar-Based Internet of Medical Things Xikang Jiang, Jinhui Zhang, Lin Zhang 2023-06-01 IEEE Transactions on Network and Service Management https://github.com/bupt-uwb/FedRadar https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10138687
325 Non-IID quantum federated learning with one-shot communication complexity Haimeng Zhao 2023-06-01 Quantum Mach. Intell. https://github.com/JasonZHM/quantum-fed-infer https://doi.org/10.1007/s42484-022-00091-z
326 Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning Junyi Zhu, Ruicong Yao, Matthew B. Blaschko 2023-05-31 ICML https://github.com/JunyiZhu-AI/surrogate_model_extension https://proceedings.mlr.press/v202/zhu23m.html
327 FedDisco: Federated Learning with Discrepancy-Aware Collaboration Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang 2023-05-30 ICML https://github.com/MediaBrain-SJTU/FedDisco https://proceedings.mlr.press/v202/ye23f.html
328 Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi 2023-05-29 arXiv https://github.com/transferFL/gl/ https://doi.org/10.48550/arXiv.2305.19290
329 Federated Conformal Predictors for Distributed Uncertainty Quantification Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael I. Jordan, Ramesh Raskar 2023-05-27 arXiv https://github.com/clu5/federated-conformal http://arxiv.org/abs/2305.17564v2
330 FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients Min Zhang, Fuxun Yu, Yongbo Yu, Minjia Zhang, Ang Li, Xiang Chen 2023-05-25 arXiv https://github.com/if-lab-repository/FedHC https://doi.org/10.48550/arXiv.2305.15668
331 Federated Learning of Medical Concepts Embedding using BEHRT Ofir Ben Shoham, Nadav Rappoport 2023-05-22 arXiv https://github.com/nadavlab/FederatedBEHRT https://doi.org/10.48550/arXiv.2305.13052
332 Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization Junyi Zhu, Xingchen Ma, Matthew B. Blaschko 2023-05-21 CVPR https://github.com/JunyiZhu-AI/confidence_aware_PFL https://doi.org/10.1109/CVPR52729.2023.02351
333 FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu, Irwin King 2023-05-16 arXiv https://github.com/cynricfu/FedHGN http://arxiv.org/abs/2305.09729v1
334 Securing Distributed SGD Against Gradient Leakage Threats Wenqi Wei, Ling Liu, Jingya Zhou, Ka-Ho Chow, Yanzhao Wu 2023-05-10 IEEE Transactions on Parallel and Distributed Systems https://github.com/git-disl/Fed-alphaCDP https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10119168
335 Gradient Leakage Defense with Key-Lock Module for Federated Learning Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Jianfeng Ma 2023-05-06 arXiv https://github.com/Rand2AI/FedKL https://doi.org/10.48550/arXiv.2305.04095
336 FedFormer: Contextual Federation with Attention in Reinforcement Learning Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen 2023-05 AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems https://github.com/liamhebert/FedFormer https://dl.acm.org/doi/10.5555/3545946.3598716
337 Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li 2023-04-21 IJCAI https://github.com/ZhangHangTao/Poisoning-Attack-on-FL https://doi.org/10.24963/ijcai.2023/508
338 Scale Federated Learning for Label Set Mismatch in Medical Image Classification Zhipeng Deng, Luyang Luo, Hao Chen 2023-04-14 MICCAI https://github.com/dzp2095/FedLSM https://doi.org/10.1007/978-3-031-43898-1_12
339 Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation Li Lin, Jiewei Wu, Yixiang Liu, Kenneth K. Y. Wong, Xiaoying Tang 2023-04-12 arXiv https://github.com/llmir/FedICRA http://arxiv.org/abs/2304.05635v1
340 Federated Incremental Semantic Segmentation Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai 2023-04-10 arXiv https://github.com/JiahuaDong/FISS http://arxiv.org/abs/2304.04620v1
341 Asynchronous Federated Continual Learning Donald Shenaj, Marco Toldo, Alberto Rigon, Pietro Zanuttigh 2023-04-07 CVPR Workshops https://github.com/LTTM/FedSpace https://doi.org/10.1109/CVPRW59228.2023.00534
342 Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach Gustavo de Carvalho Bertoli, Lourenço Alves Pereira Júnior, Aldri Luiz dos Santos, Osamu Saotome 2023-04-01 arXiv https://github.com/c2dc/fl-unsup-nids https://doi.org/10.48550/arXiv.2209.00721
343 Graph-Fraudster: Adversarial Attacks on Graph Neural Network-Based Vertical Federated Learning Jinyin Chen, Guohan Huang, Haibin Zheng, Shanqing Yu, Wenrong Jiang, Chen Cui 2023-04-01 IEEE Transactions on Computational Social Systems https://github.com/hgh0545/Graph-Fraudster https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9745270
344 Privacy vs. Efficiency: Achieving Both Through Adaptive Hierarchical Federated Learning Yeting Guo, Fang Liu, Tongqing Zhou, Zhiping Cai, Nong Xiao 2023-04-01 IEEE Transactions on Parallel and Distributed Systems https://github.com/Guoyeting/AHFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10043027
345 Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth 2023-03-28 ICCV https://nvidia.github.io/NVFlare/research/one-shot-vfl https://doi.org/10.1109/ICCV51070.2023.00480
346 Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation Yang Lu, Pinxin Qian, Gang Huang, Hanzi Wang 2023-03-27 ICASSP https://github.com/pxqian/FedAFA https://doi.org/10.1109/ICASSP49357.2023.10097083
347 Dealing with Heterogeneous 3d Mr Knee Images: A Federated Few-Shot Learning Method with Dual Knowledge Distillation Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, Dimitris N. Metaxas 2023-03-25 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) https://github.com/hexiaoxiao-cs/fedml-knee https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10230679
348 STDLens: Model Hijacking-Resilient Federated Learning for Object Detection Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu 2023-03-21 CVPR https://github.com/git-disl/STDLens https://doi.org/10.1109/CVPR52729.2023.01568
349 Make Landscape Flatter in Differentially Private Federated Learning Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao 2023-03-20 CVPR https://github.com/YMJS-Irfan/DP-FedSAM https://doi.org/10.1109/CVPR52729.2023.02352
350 Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma 2023-03-05 SDM https://github.com/JackqqWang/pfedknow/tree/master https://doi.org/10.1137/1.9781611977653.ch56
351 Combating Exacerbated Heterogeneity for Robust Models in Federated Learning Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han 2023-03-01 ICLR https://github.com/ZFancy/SFAT https://openreview.net/pdf?id=eKllxpLOOm
352 FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning Wang Lu, Xixu Hu, Jindong Wang, Xing Xie 2023-02-27 IEEE Data Eng. Bull. https://github.com/microsoft/PersonalizedFL http://sites.computer.org/debull/A23mar/p52.pdf
353 Better Generative Replay for Continual Federated Learning Daiqing Qi, Handong Zhao, Sheng Li 2023-02-25 ICLR https://github.com/daiqing98/FedCIL https://openreview.net/pdf?id=cRxYWKiTan
354 Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao 2023-02-21 Trans. Mach. Learn. Res. https://github.com/huangtiansheng/fedslr https://openreview.net/forum?id=QtrjqVIZna
355 EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data Michael Crawshaw, Yajie Bao, Mingrui Liu 2023-02-14 ICLR https://github.com/MingruiLiu-ML-Lab/episode https://openreview.net/pdf?id=ytZIYmztET
356 XFL: A High Performace, Lightweighted Federated Learning Framework Hong Wang, Yuanzhi Zhou, Chi Zhang, Chen Peng, Mingxia Huang, Yi Liu, Lintao Zhang 2023-02-10 arXiv https://github.com/paritybit-ai/XFL https://doi.org/10.48550/arXiv.2302.05076
357 A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime Detection Haobo Zhang, Junyuan Hong, Fan Dong, Steve Drew, Liangjie Xue, Jiayu Zhou 2023-02-07 arXiv https://github.com/illidanlab/HyFL https://doi.org/10.48550/arXiv.2302.03654
358 Memory-aware curriculum federated learning for breast cancer classification Amelia Jiménez-Sánchez, Mickael Tardy, Miguel Ángel González Ballester, Diana Mateus, Gemma Piella 2023-02-01 arXiv https://github.com/ameliajimenez/curriculum-federated-learning https://arxiv.org/abs/2107.02504
359 Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi 2023-01-30 BrainLes@MICCAI https://github.com/dskhanirfan/FeTS2022 https://doi.org/10.1007/978-3-031-44153-0_12
360 FedFA: Federated Feature Augmentation Tianfei Zhou, Ender Konukoglu 2023-01-30 arXiv https://github.com/tfzhou/FedFA http://arxiv.org/abs/2301.12995v1
361 Does Federated Learning Really Need Backpropagation? Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen, Shuicheng Yan, Min Lin 2023-01-28 arXiv https://github.com/FengHZ/BAFFLE https://doi.org/10.48550/arXiv.2301.12195
362 Personalized Subgraph Federated Learning Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang 2023-01-01 arXiv https://github.com/JinheonBaek/FED-PUB https://doi.org/10.48550/arXiv.2206.10206
363 Hypernetwork-Based Physics-Driven Personalized Federated Learning for CT Imaging Z. Yang, W. Xia, Z. Lu, Y. Chen, X. Li, Y. Zhang 2023-01-01 IEEE Transactions on Neural Networks and Learning Systems https://github.com/Zi-YuanYang/HyperFed https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10361833
364 Knowledge-Aware Federated Active Learning with Non-IID Data Yu-Tong Cao, Jingya Wang, Ye Shi, Baosheng Yu, Dacheng Tao 2023-01-01 2023 IEEE/CVF International Conference on Computer Vision (ICCV) https://github.com/ycao5602/KAFAL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10378423
365 Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Donald Shenaj, Eros Fanì, Marco Toldo, Debora Caldarola, Antonio Tavera, Umberto Michieli, Marco Ciccone, Pietro Zanuttigh, Barbara Caputo 2023-01-01 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) https://github.com/Erosinho13/LADD https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10030428
366 MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare Yiqiang Chen, Wang Lu, Xin Qin, Jindong Wang, Xing Xie 2023-01-01 IEEE Transactions on Neural Networks and Learning Systems https://github.com/microsoft/PersonalizedFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10197230
367 One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli-Mosabbeb, Kilian M. Pohl, Sanghyun Park 2023-01-01 MICCAI https://github.com/myeongkyunkang/FedISCA https://doi.org/10.1007/978-3-031-43895-0_49
368 OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework Dengsheng Chen, Vince Junkai Tan, Zhilin Lu, Enhua Wu, Jie Hu 2023-01-01 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) https://github.com/FederalLab/OpenFed https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10208573
369 PGFed: Personalize Each Client's Global Objective for Federated Learning Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu 2023-01-01 arXiv https://github.com/ljaiverson/pgfed https://doi.org/10.48550/arXiv.2212.01448
370 Personalized Federated Learning with Local Optimization Models Shenhai Zheng, Haihan Xu, Peng Han, Yuanyuan Li, Yufei Chen, Qing Chen 2023-01-01 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS) https://github.com/LilRind/pFedLO https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10476205
371 Practical and General Backdoor Attacks Against Vertical Federated Learning Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Bisheng Tang, Ye Dong 2023-01-01 Machine Learning and Knowledge Discovery in Databases: Research Track https://github.com/xuanyx/BadVFL http://dx.doi.org/10.1007/978-3-031-43415-0_24
372 Private Non-Convex Federated Learning Without a Trusted Server Andrew Lowy, Ali Ghafelebashi, Meisam Razaviyayn 2023-01-01 arXiv https://github.com/ghafeleb/Private-NonConvex-Federated-Learning-Without-a-Trusted-Server https://doi.org/10.48550/arXiv.2203.06735
373 FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou 2023-01-01 Proceedings of the VLDB Endowment (PVLDB), Volume 16, Issue 5 https://github.com/alibaba/FederatedScope https://dl.acm.org/doi/10.14778/3579075.3579081
374 Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology Tuong Do, Binh X. Nguyen, Vuong Pham, Toan Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen 2023-01-01 ICCV https://github.com/aioz-ai/MultigraphFL https://doi.org/10.1109/ICCV51070.2023.01778
375 Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming Huzaifa Arif, Alex Gittens, Pin-Yu Chen 2023-01-01 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) https://github.com/IBM/reprogrammble-FL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10136143
376 RobustHealthFL: Robust Strategy Against Malicious Clients in Non-iid Healthcare Federated Learning* Peng Xi, Wenjuan Tang, Kun Xie, Xuan Liu, Peng Zhao, Shaoliang Peng 2023-01-01 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) https://github.com/xipengp/RobustHealthFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10385849
377 SGFL: A Federated Learning Approach for Non-IID Data Using Semi-Supervised DCGAN A. Rabiee, A. Ajdarloo, M. Rahmani 2023-01-01 2023 13th International Conference on Computer and Knowledge Engineering (ICCKE) https://github.com/apaliray03/SGFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10326270
378 Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges Lei Zhang, Guanyu Gao, Huaizheng Zhang 2023-01-01 IEEE Transactions on Circuits and Systems for Video Technology https://github.com/MSNLAB/Federated-Lifelong-Person-ReID https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10142016
379 TradeFL: A Trading Mechanism for Cross-Silo Federated Learning Shijing Yuan, Hongtao Lv, Hongze Liu, Chentao Wu, Song Guo, Zhi Liu, Hongyang Chen, Jie Li 2023-01-01 2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS) https://github.com/user10963 https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10272449
380 GRACE: A Generalized and Personalized Federated Learning Method for Medical Imaging Ruipeng Zhang, Ziqing Fan, Qinwei Xu, Jiangchao Yao, Ya Zhang, Yanfeng Wang 2023-01-01 MICCAI https://github.com/MediaBrain-SJTU/GPFL-GRACE https://doi.org/10.1007/978-3-031-43898-1_2
381 F2MKD: Fog-enabled Federated Learning with Mutual Knowledge Distillation Yusuke Yamasaki, Hideki Takase 2023-01-01 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC) https://github.com/d3-ai/F2MKD https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10059910
382 Federated Noisy Client Learning Li Li, Huazhu Fu, Bo Han, Cheng-Zhong Xu, Ling Shao 2023-01-01 IEEE Transactions on Neural Networks and Learning Systems https://github.com/TKH666/Fed-NCL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10337775
383 FedAudio: A Federated Learning Benchmark for Audio Tasks Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr 2023-01-01 arXiv https://github.com/zhang-tuo-pdf/FedAudio https://doi.org/10.48550/arXiv.2210.15707
384 Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning B. Yang, P. C. Yuen, Y. Zhang, A. Zeng 2023-01-01 IEEE Transactions on Neural Networks and Learning Systems https://github.com/ybaoyao/AlFeCo https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10373104
385 Brain Age Estimation Using Structural MRI: A Clustered Federated Learning Approach Seyyed Saeid Cheshmi, Abtin Mahyar, Anita Soroush, Zahra Rezvani, Bahar J. Farahani 2023-01-01 2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS) https://github.com/Abtinmy/Clustered-FL-BrainAGE https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10189329
386 Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang, Jiantao Jiao, Dawn Song, Michael I. Jordan 2023-01-01 arXiv https://github.com/wanglun1996/secure-robust-federated-learning https://doi.org/10.48550/arXiv.2205.11765
387 Communication Efficient Federated Learning via Channel-wise Dynamic Pruning Bo Tao, Cen Chen, Huimin Chen 2023-01-01 2023 IEEE Wireless Communications and Networking Conference (WCNC) https://github.com/tabo0/FedCDP https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10118879
388 Disentangling Client Contributions: Improving Federated Learning Accuracy in the Presence of Heterogeneous Data Chunming Liu, Daniyal M. Alghazzawi, Li Cheng, Gaoyang Liu, Chen Wang, Cheng Zeng, Yang Yang 2023-01-01 2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) https://github.com/ChunmingLiu23/FedVa https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10491709
389 FLIS: Clustered Federated Learning Via Inference Similarity for Non-IID Data Distribution Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin 2023-01-01 IEEE Open Journal of the Computer Society https://github.com/MMorafah/FLIS https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10081485
390 FML-MIS: A Scheme of Privacy Protection and Model Generalization for Medical Images Segmentation via Federated Meta-learning Mohan Yu, Heng Liu 2023-01-01 ICIG https://github.com/yuwxl/FML-MIS https://doi.org/10.1007/978-3-031-46314-3_11
391 Characterizing Internal Evasion Attacks in Federated Learning Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong 2023-01-01 AISTATS https://github.com/tj-kim/pFedDef_v1 https://proceedings.mlr.press/v206/kim23a.html
392 FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction Yongxin Guo, Xiaoying Tang, Tao Lin 2023-01-01 ICML https://github.com/lins-lab/fedbr https://proceedings.mlr.press/v202/guo23g.html
393 Federated Cross Learning for Medical Image Segmentation Xuanang Xu, Hannah H. Deng, Tianyi Chen, Tianshu Kuang, Joshua C. Barber, Daeseung Kim, Jaime Gateno, James J. Xia, Pingkun Yan 2023-01-01 MIDL https://github.com/DIAL-RPI/FedCross https://proceedings.mlr.press/v227/xu24a.html
394 FedForgery: Generalized Face Forgery Detection With Residual Federated Learning Decheng Liu, Zhan Dang, Chunlei Peng, Yu Zheng, Shuang Li, Nannan Wang, Xinbo Gao 2023-01-01 IEEE Transactions on Information Forensics and Security https://github.com/GANG370/FedForgery https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10177776
395 Federated Learning and Differential Privacy in AI-Based Surveillance Systems Model J. Adiwijaya, V. R. Tanaya, Anderies, A. Chowanda 2023-01-01 2023 14th International Conference on Information & Communication Technology and System (ICTS) https://github.com/slimmyYer211/RMCS-PPCV_01 https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10330863
396 Federated Learning With Spiking Neural Networks Sadia Anjum Tumpa, Sonali Singh, Md Fahim Faysal Khan, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan, Chita R. Das 2023-01-01 IEEE Transactions on Signal Processing https://github.com/Intelligent-Computing-Lab-Yale/FedSNN https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9583900
397 Federated Learning with Intermediate Representation Regularization Ye Lin Tun, Chu Myaet Thwal, Yu Min Park, Seong-Bae Park, Choong Seon Hong 2023-01-01 2023 IEEE International Conference on Big Data and Smart Computing (BigComp) https://github.com/YLTun/FedIntR https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10066639
398 FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification Nannan Wu, Li Yu, Xin Yang, Kwang-Ting Cheng, Zengqiang Yan 2023-01-01 MICCAI https://github.com/wnn2000/FedIIC https://doi.org/10.1007/978-3-031-43895-0_65
399 FedGda: Model Aggregation Algorithm Based on Topological Density in Federated Graph Learning Y. Li, X. Ren, X. Meng, T. Liu, H. Ling, C. Yu 2023-01-01 2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE) https://github.com/xianglinllllll/renxiang https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10383071
400 FedGR: Federated Learning with Gravitation Regulation for Double Imbalance Distribution Songyue Guo, Xu Yang, Jiyuan Feng, Ye Ding, Wei Wang, Yunqing Feng, Qing Liao 2023-01-01 DASFAA https://github.com/Guosy-wxy/FedGR https://doi.org/10.1007/978-3-031-30637-2_47
401 FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon 2023-01 ICPP '22: Proceedings of the 51st International Conference on Parallel Processing https://github.com/hukla/fedclassavg https://dl.acm.org/doi/10.1145/3545008.3545073
402 Instance-wise Batch Label Restoration via Gradients in Federated Learning Kailang Ma, Yu Sun, Jian Cui, Dawei Li, Zhenyu Guan, Jianwei Liu 2023 ICLR https://github.com/BUAA-CST/iLRG https://openreview.net/pdf?id=FIrQfNSOoTr
403 TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning S. Chen, Z. Hong, W. Hou, G. -S. Xie, Y. Song, J. Zhao, X. You, S. Yan, L. Shao 2023 IEEE Transactions on Pattern Analysis and Machine Intelligence https://shiming-chen.github.io/TransZero-pp/TransZero-pp.html https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9987664
404 Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, Song Bai 2023 arXiv https://github.com/bytedance/FedDecorr https://doi.org/10.48550/arXiv.2210.00226
405 Test-Time Robust Personalization for Federated Learning Liangze Jiang, Tao Lin 2023 arXiv https://github.com/LINs-lab/FedTHE https://doi.org/10.48550/arXiv.2205.10920
406 Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis Q. Yang, Q. Zhu, M. Wang, W. Shao, Z. Zhang, D. Zhang 2023 IEEE Transactions on Big Data https://github.com/nuaayqm/S2FA https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10091149
407 Proportional Fairness in Federated Learning Guojun Zhang, Saber Malekmohammadi, Xi Chen, Yaoliang Yu 2023 Trans. Mach. Learn. Res. https://github.com/huawei-noah/Federated-Learning/tree/main/FairFL https://openreview.net/forum?id=ryUHgEdWCQ
408 PerFedMask: Personalized Federated Learning with Optimized Masking Vectors Mehdi Setayesh, Xiaoxiao Li, Vincent W. S. Wong 2023 ICLR https://github.com/MehdiSet/PerFedMask https://openreview.net/pdf?id=hxEIgUXLFF
409 Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition C. Yang, Z. An, H. Zhou, F. Zhuang, Y. Xu, Q. Zhang 2023 IEEE Transactions on Pattern Analysis and Machine Intelligence https://github.com/winycg/L-MCL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10073628
410 NVIDIA FLARE: Federated Learning from Simulation to Real-World Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng 2023 arXiv https://github.com/NVIDIA/NVFlare https://doi.org/10.48550/arXiv.2210.13291
411 Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael G. Rabbat 2023 arXiv https://github.com/facebookresearch/where_to_begin https://doi.org/10.48550/arXiv.2210.08090
412 IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation Meirui Jiang, Hongzheng Yang, Chen Cheng, Qi Dou 2023 IEEE Transactions on Medical Imaging https://github.com/med-air/IOP-FL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10086676
413 Federated Multi-Organ Segmentation With Inconsistent Labels Xuanang Xu, Hannah H. Deng, Jaime Gateno, Pingkun Yan 2023 IEEE Transactions on Medical Imaging https://github.com/DIAL-RPI/Fed-MENU https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10107904
414 Federated Brain Graph Evolution Prediction Using Decentralized Connectivity Datasets With Temporally-Varying Acquisitions Z. Gürler, I. Rekik 2023 IEEE Transactions on Medical Imaging https://github.com/basiralab/4D-FedGNN-Plus https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9964305
415 FedDM: Federated Weakly Supervised Segmentation via Annotation Calibration and Gradient De-Conflicting M. Zhu, Z. Chen, Y. Yuan 2023 IEEE Transactions on Medical Imaging https://github.com/CityU-AIM-Group/FedDM https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10013742
416 FedDAR: Federated Domain-Aware Representation Learning Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li 2023 arXiv https://github.com/zlz0414/FedDAR https://doi.org/10.48550/arXiv.2209.04007
417 FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang 2023 arXiv https://github.com/KaiyuanZh/FLIP https://doi.org/10.48550/arXiv.2210.12873
418 Bayesian Collaborative Learning for Whole-Slide Image Classification J. -G. Yu, Z. Wu, Y. Ming, S. Deng, Q. Wu, Z. Xiong, T. Yu, G. -S. Xia, Q. Jiang, Y. Li 2023 IEEE Transactions on Medical Imaging https://github.com/Zero-We/BCL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10034429
419 A Systematic Evaluation of Federated Learning on Biomedical Natural Language Processing Le Peng, Sicheng Zhou, Jiandong Chen, Rui Zhang, Ziyue Xu, Ju Sun 2023 arXiv https://github.com/PL97/FedNLP https://doi.org/10.48550/arXiv.2307.11254
420 A New Framework of Swarm Learning Consolidating Knowledge From Multi-Center Non-IID Data for Medical Image Segmentation Z. Gao, F. Wu, W. Gao, X. Zhuang 2023 IEEE Transactions on Medical Imaging https://zmiclab.github.io/projects.html https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9943283
421 A Dataset Auditing Method for Collaboratively Trained Machine Learning Models Yangsibo Huang, Chun-Yin Huang, Xiaoxiao Li, Kai Li 2023 IEEE Transactions on Medical Imaging https://github.com/Hazelsuko07/EMA https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9951407
422 When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods Zhuo Zhang, Yuanhang Yang, Yong Dai, Lizhen Qu, Zenglin Xu 2022-12-20 arXiv https://github.com/iezhuozhuo/FedETuning/tree/deltaTuning https://doi.org/10.48550/arXiv.2212.10025
423 FedTADBench: Federated Time-series Anomaly Detection Benchmark Fanxing Liu, Cheng Zeng, Le Zhang, Yingjie Zhou, Qing Mu, Yanru Zhang, Ling Zhang, Ce Zhu 2022-12-19 2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) https://github.com/fanxindiu2020/FedTADBench https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10074717
424 FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation Ziqing Fan, Yanfeng Wang, Jiangchao Yao, Lingjuan Lyu, Ya Zhang, Qi Tian 2022-12-14 2022 IEEE International Conference on Data Mining (ICDM) https://github.com/MediaBrain-SJTU/FedSkip https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10027627
425 Robust Split Federated Learning for U-shaped Medical Image Networks Ziyuan Yang, Yingyu Chen, Huijie Huangfu, Maosong Ran, Hui Wang, Xiaoxiao Li, Yi Zhang 2022-12-13 arXiv https://github.com/Zi-YuanYang/RoS-FL https://doi.org/10.48550/arXiv.2212.06378
426 Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li 2022-12-12 arXiv https://github.com/alibaba/FederatedScope/tree/master/federatedscope/nlp/hetero_tasks https://doi.org/10.48550/arXiv.2212.05789
427 FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang 2022-12-03 NeurIPS https://github.com/AIoT-MLSys-Lab/FedRolex http://papers.nips.cc/paper_files/paper/2022/hash/bf5311df07f3efce97471921e6d2f159-Abstract-Conference.html
428 Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease Akis Linardos, Kaisar Kushibar, Sean Walsh, Polyxeni Gkontra, Karim Lekadir 2022-12-01 arXiv https://github.com/Linardos/federated-HCM-diagnosis https://arxiv.org/abs/2107.03901
429 Personalized Retrogress-Resilient Federated Learning Toward Imbalanced Medical Data Zhen Chen, Chen Yang, Meilu Zhu, Zhe Peng, Yixuan Yuan 2022-12-01 IEEE Transactions on Medical Imaging https://github.com/CityU-AIM-Group/PRR-Imbalancehttps://github.com/CityU-AIM-Group/PRR-Imbalance https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9832948
430 FedGS: Federated Graph-based Sampling with Arbitrary Client Availability Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Haibing Jin, Peizhen Yang, Siqi Shen, Cheng Wang 2022-11-25 arXiv https://github.com/WwZzz/FedGS http://arxiv.org/abs/2211.13975v3
431 Federated Learning Hyper-Parameter Tuning from a System Perspective Huanle Zhang, Lei Fu, Mi Zhang, Pengfei Hu, Xiuzhen Cheng, Prasant Mohapatra, Xin Liu 2022-11-24 arXiv https://github.com/DataSysTech/FedTune https://doi.org/10.48550/arXiv.2211.13656
432 Robust Smart Home Face Recognition Under Starving Federated Data Jaechul Roh, Yajun Fang 2022-11-10 2022 6th International Conference on Universal Village (UV) https://github.com/jcroh0508/FLATS https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10185525
433 Enhancing Efficiency in Multidevice Federated Learning through Data Selection Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur 2022-11-08 arXiv https://github.com/dr-bell/data-centric-federated-learning http://arxiv.org/abs/2211.04175v4
434 FedFly: Toward Migration in Edge-Based Distributed Federated Learning Rehmat Ullah, Di Wu, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese 2022-11-01 IEEE Communications Magazine https://github.com/qub-bless-on/FedFly https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9846940
435 TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments Vivek Khimani, Shahin Jabbari 2022-11-01 arXiv https://github.com/vivekkhimani/torchfl https://doi.org/10.48550/arXiv.2211.00735
436 Federated split GANs Pranvera Kortoçi, Yilei Liang, Pengyuan Zhou, Lik-Hang Lee, Abbas Mehrabi, Pan Hui, Sasu Tarkoma, Jon Crowcroft 2022-11 FedEdge '22: Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network https://github.com/YukariSonz/FSL-GAN https://dl.acm.org/doi/10.1145/3556557.3557953
437 SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari 2022-11 SC22: International Conference for High Performance Computing, Networking, Storage and Analysis https://github.com/yusx-swapp/SPATL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10046104
438 Machine Unlearning of Federated Clusters Chao Pan, Jin Sima, Saurav Prakash, Vishal Rana, Olgica Milenkovic 2022-10-28 ICLR 2023 poster https://github.com/thupchnsky/mufc http://arxiv.org/abs/2210.16424v2
439 Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning Yuxin Wen, Jonas Geiping, Liam H Fowl, Hossein Souri, Rama Chellappa, Micah Goldblum, Tom Goldstein 2022-10-17 arXiv https://github.com/YuxinWenRick/thinking-two-moves-ahead https://doi.org/10.48550/arXiv.2210.09305
440 Towards Federated Learning against Noisy Labels via Local Self-Regularization Xuefeng Jiang, Sheng Sun, Yuwei Wang, Min Liu 2022-10-17 CIKM https://github.com/Sprinter1999/FedLSR https://doi.org/10.1145/3511808.3557475
441 Federated Stain Normalization for Computational Pathology Nicolas Wagner, Moritz Fuchs, Yuri Tolkach, Anirban Mukhopadhyay 2022-09-29 arXiv https://github.com/MECLabTUDA/BottleGAN http://arxiv.org/abs/2209.14849v1
442 Investigating the Predictive Reproducibility of Federated Graph Neural Networks using Medical Datasets Mehmet Yigit Balik, Arwa Rekik, Islem Rekik 2022-09-13 arXiv https://github.com/basiralab/reproducibleFedGNN http://arxiv.org/abs/2209.06032v1
443 Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning Feng Wang, Mustafa Cenk Gursoy, Senem Velipasalar 2022-09-12 GLOBECOM 2022 - 2022 IEEE Global Communications Conference https://github.com/wfwf10/Feature-based-Federated-Transfer-Learning https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10000612
444 SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging Miao Zhang, Liangqiong Qu, Praveer Singh, Jayashree Kalpathy-Cramer, Daniel L. Rubin 2022-09-01 IEEE Journal of Biomedical and Health Informatics https://github.com/zm17943/SplitAVG https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9806163
445 Federated Learning of Large Models at the Edge via Principal Sub-Model Training Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr 2022-08-28 arXiv https://github.com/yuehniu/modeldecomp-fl https://doi.org/10.48550/arXiv.2208.13141
446 Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr 2022-08-27 Submitted to ICLR 2023 https://github.com/SaraBabakN/flash_fl http://arxiv.org/abs/2208.13092v3
447 FedComm: Understanding Communication Protocols for Edge-based Federated Learning Gary Cleland, Di Wu, Rehmat Ullah, Blesson Varghese 2022-08-18 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) https://github.com/qub-blesson/edComm https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10061797
448 Long-Short History of Gradients Is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das 2022-08-14 ESORICS https://github.com/LabSAINT/MUD-HoG_Federated_Learning https://doi.org/10.1007/978-3-031-17143-7_22
449 FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou 2022-08-14 KDD https://github.com/alibaba/FederatedScope https://doi.org/10.1145/3534678.3539112
450 FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong 2022-08-14 KDD https://github.com/zaixizhang/FLDetector https://doi.org/10.1145/3534678.3539231
451 Connecting Low-Loss Subspace for Personalized Federated Learning Seok-Ju Hahn, Minwoo Jeong, Junghye Lee 2022-08-14 KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining http://github.com/vaseline555/SuPerFed https://dl.acm.org/doi/10.1145/3534678.3539254
452 UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, The-Anh Vu-Le, Zhen Huang, Arash Nourian, Bo Li, Dawn Song 2022-07-21 arXiv https://github.com/AI-secure/FLBenchmark-toolkit http://arxiv.org/abs/2207.10308v3
453 FLAIR: Federated Learning Annotated Image Repository Congzheng Song, Filip Granqvist, Kunal Talwar 2022-07-18 NeurIPS https://github.com/apple/ml-flair http://papers.nips.cc/paper_files/paper/2022/hash/f64e55d03e2fe61aa4114e49cb654acb-Abstract-Datasets_and_Benchmarks.html
454 Suppressing Poisoning Attacks on Federated Learning for Medical Imaging Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar 2022-07-15 MICCAI https://github.com/Naiftt/SPAFD https://doi.org/10.1007/978-3-031-16452-1_64
455 Personalizing Federated Medical Image Segmentation via Local Calibration Jiacheng Wang, Yueming Jin, Liansheng Wang 2022-07-11 arXiv https://github.com/jcwang123/FedLC http://arxiv.org/abs/2207.04655v1
456 Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen 2022-06-30 arXiv https://github.com/bibikar/feddst https://arxiv.org/abs/2112.09824
457 HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images Meirui Jiang, Zirui Wang, Qi Dou 2022-06-30 arXiv https://github.com/med-air/HarmoFL https://arxiv.org/abs/2112.10775
458 Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance Meirui Jiang, Hongzheng Yang, Xiaoxiao Li, Quande Liu, Pheng-Ann Heng, Qi Dou 2022-06-27 MICCAI https://github.com/med-air/imFedSemi https://doi.org/10.1007/978-3-031-16437-8_19
459 Robust One Round Federated Learning with Predictive Space Bayesian Inference Mohsin Hasan, Zehao Zhang, Kaiyang Guo, Mahdi Karami, Guojun Zhang, Xi Chen, Pascal Poupart 2022-06-20 arXiv https://github.com/hasanmohsin/FedPredSpace_1Round https://doi.org/10.48550/arXiv.2206.09526
460 Motley: Benchmarking Heterogeneity and Personalization in Federated Learning Shanshan Wu, Tian Li, Zachary Charles, Yu Xiao, Ken Ziyu Liu, Zheng Xu, Virginia Smith 2022-06-18 arXiv https://github.com/google-research/federated/tree/master/personalization_benchmark https://doi.org/10.48550/arXiv.2206.09262
461 Federated Optimization Algorithms with Random Reshuffling and Gradient Compression Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov, Igor Sokolov, Ahmed Khaled, Konstantin Burlachenko, Peter Richtárik 2022-06-14 arXiv https://github.com/IgorSokoloff/rr_with_compression_experiments_source_code http://arxiv.org/abs/2206.07021v2
462 FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li 2022-06-08 Submitted to ICLR 2023 https://github.com/alibaba/FederatedScope/tree/master/benchmark/FedHPOB http://arxiv.org/abs/2206.03966v4
463 Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging Ziyuan Yang, Wenjun Xia, Zexin Lu, Yingyu Chen, Xiaoxiao Li, Yi Zhang 2022-06-08 arXiv https://github.com/Zi-YuanYang/HyperFed https://doi.org/10.48550/arXiv.2206.03709
464 pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding 2022-06-08 NeurIPS https://github.com/alibaba/FederatedScope/tree/master/benchmark/pFL-Bench http://papers.nips.cc/paper_files/paper/2022/hash/3cc03e19fed71a2b9347d83921ca2e7d-Abstract-Datasets_and_Benchmarks.html
465 A Benchmark for Federated Hetero-Task Learning Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li 2022-06-07 arXiv https://github.com/alibaba/FederatedScope/tree/master/benchmark/B-FHTL https://doi.org/10.48550/arXiv.2206.03436
466 FedHarmony: Unlearning Scanner Bias with Distributed Data Nicola K Dinsdale, Mark Jenkinson, Ana IL Namburete 2022-05-31 arXiv https://github.com/nkdinsdale/FedHarmony http://arxiv.org/abs/2205.15970v1
467 Federated Neural Bandits Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet 2022-05-28 ICLR 2023 poster https://github.com/daizhongxiang/Federated-Neural-Bandits http://arxiv.org/abs/2205.14309v2
468 FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data Mike He Zhu, Léna Néhale Ezzine, Dianbo Liu, Yoshua Bengio 2022-05-19 arXiv https://github.com/mikemikezhu/FedILC https://doi.org/10.48550/arXiv.2205.09305
469 Recovering Private Text in Federated Learning of Language Models Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen 2022-05-17 NeurIPS https://github.com/Princeton-SysML/FILM http://papers.nips.cc/paper_files/paper/2022/hash/35b5c175e139bff5f22a5361270fce87-Abstract-Conference.html
470 ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti 2022-05-09 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/zlijingtao/ResSFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9880307
471 FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training Yan Kang, Yang Liu, Xinle Liang 2022-05-04 ACM Transactions on Intelligent Systems and Technology (TIST), Volume 13, Issue 4 https://github.com/yankang18/FedCVT https://dl.acm.org/doi/10.1145/3510031
472 FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak 2022-05-04 Proceedings of the 39th International Conference on Machine Learning, PMLR 162:21146-21179, 2022 https://github.com/ucr-optml/FedNest http://arxiv.org/abs/2205.02215v3
473 GRNN: Generative Regression Neural Network—A Data Leakage Attack for Federated Learning Hanchi Ren, Jingjing Deng, Xianghua Xie 2022-05-04 ACM Transactions on Intelligent Systems and Technology (TIST), Volume 13, Issue 4 https://github.com/Rand2AI/GRNN https://dl.acm.org/doi/10.1145/3510032
474 Improving response time of home IoT services in federated learning Dongjun Hwang, Hyunsu Mun, Youngseok Lee 2022-05 SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing https://github.com/HwangDongJun/Federated_Learning_using_Websockets https://dl.acm.org/doi/10.1145/3477314.3508380
475 FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation Xinyi Shang, Yang Lu, Yiu-Ming Cheung, Hanzi Wang 2022-04-30 2022 IEEE International Conference on Multimedia and Expo (ICME) https://github.com/shangxinyi/FEDIC https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9860009
476 Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features Xinyi Shang, Yang Lu, Gang Huang, Hanzi Wang 2022-04-28 IJCAI https://github.com/shangxinyi/CReFF-FL https://doi.org/10.24963/ijcai.2022/308
477 CXR-FL: Deep Learning-Based Chest X-ray Image Analysis Using Federated Learning Filip Slazyk, Przemyslaw Jablecki, Aneta Lisowska, Maciej Malawski, Szymon Plotka 2022-04-11 ICCS https://github.com/SanoScience/CXR-FL https://doi.org/10.1007/978-3-031-08754-7_50
478 FedCorr: Multi-Stage Federated Learning for Label Noise Correction Jingyi Xu, Zihan Chen, Tony Q. S. Quek, Kai Fong Ernest Chong 2022-04-10 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/Xu-Jingyi/FedCorr https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9878965
479 Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, Masashi Sugiyama 2022-04-07 ICLR https://github.com/lunanbit/FedUL https://openreview.net/forum?id=WHA8009laxu
480 User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Tiantian Feng, Raghuveer Peri, Shrikanth Narayanan 2022-04-05 arXiv https://github.com/usc-sail/fed-ser-leakage https://doi.org/10.48550/arXiv.2204.02500
481 RSCFed: Random Sampling Consensus Federated Semi-supervised Learning Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li 2022-03-26 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/XMed-Lab/RSCFed https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9878902
482 Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou 2022-03-18 ICLR https://github.com/illidanlab/SplitMix https://openreview.net/forum?id=_QLmakITKg
483 Acceleration of Federated Learning with Alleviated Forgetting in Local Training Chencheng Xu, Zhiwei Hong, Minlie Huang, Tao Jiang 2022-03-05 ICLR https://github.com/Zoesgithub/FedReg https://openreview.net/forum?id=541PxiEKN3F
484 Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data Yiu-ming Cheung, Juyong Jiang, Feng Yu, Jian Lou 2022-03-03 arXiv https://github.com/juyongjiang/VFedPCA-VFedAKPCA http://arxiv.org/abs/2203.01752v1
485 FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving Lidia Fantauzzo, Eros Fanì, Debora Caldarola, Antonio Tavera, Fabio Cermelli, Marco Ciccone, Barbara Caputo 2022-02-28 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) https://feddrive.github.io https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9981098
486 Sky Computing: Accelerating Geo-distributed Computing in Federated Learning Jie Zhu, Shenggui Li, Yang You 2022-02-24 arXiv https://github.com/hpcaitech/SkyComputing https://arxiv.org/abs/2202.11836
487 Privacy Leakage of Adversarial Training Models in Federated Learning Systems Jingyang Zhang, Yiran Chen, Hai Helen Li 2022-02-21 CVPR Workshops https://github.com/zjysteven/PrivayAttack_AT_FL https://doi.org/10.1109/CVPRW56347.2022.00021
488 Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching Wonyong Jeong, Sung Ju Hwang 2022-02-01 arXiv https://github.com/wyjeong/Factorized-FL https://arxiv.org/abs/2202.00270
489 FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong 2022-01-28 NeurIPS 2023 https://github.com/yh-yao/FedGCN http://arxiv.org/abs/2201.12433v7
490 FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesis Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Yefeng Zheng, Feng Zheng, Yaochu Jin 2022-01-22 OpenReview https://github.com/M-3LAB/FedMed-GAN http://arxiv.org/abs/2201.08953v3
491 Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, Daniel L. Rubin 2022-01-01 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/Liangqiong/ViT-FL-main https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9880336
492 ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz 2022-01-01 arXiv https://github.com/a514514772/ProgFed https://arxiv.org/abs/2110.05323
493 Privacy-preserving Model Training for Disease Prediction Using Federated Learning with Differential Privacy Amol Khanna, Vincent Schaffer, Gamze Gürsoy, Mark Gerstein 2022-01-01 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) https://github.com/gersteinlab/idash20FL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9871742
494 Personalized Federated Learning with Adaptive Batchnorm for Healthcare Wang Lu, Jindong Wang, Yiqiang Chen, Xin Qin, Renjun Xu, Dimitrios Dimitriadis, Tao Qin 2022-01-01 IEEE Transactions on Big Data https://github.com/microsoft/personalizedfl https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9780172
495 Federated Learning Algorithms with Heterogeneous Data Distributions: An Empirical Evaluation Alessio Mora, Davide Fantini, Paolo Bellavista 2022-01-01 2022 IEEE/ACM 7th Symposium on Edge Computing (SEC) https://github.com/alessiomora/fI_algorithms_non_iid https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9996788
496 Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen 2022-01-01 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/mmendiet/FedAlign https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9880310
497 GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen 2022-01-01 2022 IEEE International Conference on Data Mining (ICDM) https://github.com/binghuiivang/GraphFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10027604
498 Fidel: Reconstructing Private Training Samples from Weight Updates in Federated Learning David Enthoven, Zaid Al-Ars 2022-01-01 2022 9th International Conference on Internet of Things: Systems, Management and Security (IOTSMS) https://github.com/Davidenthoven/Fidel-Reconstruction-Demo https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10062088
499 Federated Time-Dependent GNN Learning from Brain Connectivity Data with Missing Timepoints Zeynep Gürler, Islem Rekik 2022-01-01 PRIME@MICCAI https://github.com/basiralab/4D-FED-GNN https://doi.org/10.1007/978-3-031-16919-9_1
500 Federated Learning with Positive and Unlabeled Data Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang 2022-01-01 arXiv https://github.com/littleSunlxy/FedPU-torch https://arxiv.org/abs/2106.10904
501 Adaptive Weight Aggregation in Federated Learning for Brain Tumor Segmentation Muhammad Irfan Khan, Mojtaba Jafaritadi, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan 2022-01-01 BrainLes@MICCAI https://github.com/dskhanirfan/FeTS2021 https://doi.org/10.1007/978-3-031-09002-8_40
502 Deep Federated Learning for Autonomous Driving Anh Nguyen, Tuong Do, Minh Tran, Binh X. Nguyen, Chien Duong, Tu Phan, Erman Tjiputra, Quang D. Tran 2022-01-01 2022 IEEE Intelligent Vehicles Symposium (IV) https://github.com/aioz-ai/FADNet https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9827020
503 DSFL: Dynamic Sparsification for Federated Learning Mahdi Beitollahi, Mingrui Liu, Ning Lu 2022-01-01 2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA) https://github.com/mahdibeit/DSFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10019204
504 Contractible Regularization for Federated Learning on Non-IID Data Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng 2022-01-01 2022 IEEE International Conference on Data Mining (ICDM) https://github.com/czifan/ConTre.pytorch https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10027753
505 Continual Learning of Dynamical Systems With Competitive Federated Reservoir Computing Leonard Bereska, Efstratios Gavves 2022-01-01 CoLLAs https://github.com/leonardbereska/multiheadreservoir https://proceedings.mlr.press/v199/bereska22a.html
506 Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan 2022-01-01 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS) https://github.com/JianXu95/SignGuard https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9912299
507 An Agnostic Approach to Federated Learning with Class Imbalance Zebang Shen, Juan Cerviño, Hamed Hassani, Alejandro Ribeiro 2022-01-01 ICLR https://github.com/shenzebang/Federated-Learning-Pytorch https://openreview.net/forum?id=Xo0lbDt975
508 Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun Luo, Shandong Wu 2022-01-01 arXiv https://github.com/ljaiverson/pFL-APPLE https://arxiv.org/abs/2110.08394
509 A Trustless Federated Framework for Decentralized and Confidential Deep Learning C. Li, Q. Shen, C. Xiang, B. Ramesh 2022-01-01 2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain & Beyond (iGETblockchain) https://github.com/s-elo/DNN-Blockchain https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10087146
510 A Novel Optimized Asynchronous Federated Learning Framework Zhicheng Zhou, Hailong Chen, Kunhua Li, Fei Hu, Bingjie Yan, Jieren Cheng, Xuyan Wei, Bernie Liu, Xiulai Li, Fuwen Chen, Yongji Sui 2022-01-01 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) https://github.com/RobAI-Lab/NAFL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9781177
511 A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning Zhaomin Wu, Qinbin Li, Bingsheng He 2022-01-01 arXiv https://github.com/Xtra-Computing/FedSim https://arxiv.org/abs/2106.06312
512 Towards Federated Bayesian Network Structure Learning with Continuous Optimization Ignavier Ng, Kun Zhang 2022-01-01 arXiv https://github.com/ignavierng/notears-admm https://arxiv.org/abs/2110.09356
513 Optimal Client Sampling for Federated Learning Wenlin Chen, Samuel Horváth, Peter Richtárik 2022 arXiv https://github.com/SamuelHorvath/FL-optimal-client-sampling https://arxiv.org/abs/2010.13723
514 Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems S. Huai, D. Liu, H. Kong, X. Luo, W. Liu, R. Subramaniam, C. Makaya, Q. Lin 2022 2022 IEEE 40th International Conference on Computer Design (ICCD) https://github.com/ntuliuteam/Collate https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9978336
515 FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition Chih-Ting Liu, Chien-Yi Wang, Shao-Yi Chien, Shang-Hong Lai 2021-12-23 arXiv https://github.com/jackie840129/FedFR http://arxiv.org/abs/2112.12496v3
516 Evaluating Gradient Inversion Attacks and Defenses in Federated Learning Yangsibo Huang, Samyak Gupta, Zhao Song, Kai Li, Sanjeev Arora 2021-11-30 NeurIPS https://github.com/Princeton-SysML/GradAttack https://proceedings.neurips.cc/paper/2021/hash/3b3fff6463464959dcd1b68d0320f781-Abstract.html
517 Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning Zeki Bilgin 2021-11-29 arXiv https://github.com/ArcelikAcikKaynak/Federated_Learning https://arxiv.org/abs/2111.14683
518 FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan, Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr 2021-11-22 arXiv https://github.com/FedML-AI/FedCV https://arxiv.org/abs/2111.11066
519 Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang 2021-11-01 IEEE Transactions on Wireless Communications https://github.com/liuhang1994/RIS-FL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9451567
520 Revealing and Protecting Labels in Distributed Training Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays 2021-10-31 NeurIPS 2021 Poster https://github.com/googleinterns/learning-bag-of-words http://arxiv.org/abs/2111.00556v1
521 Differentially Private Federated Bayesian Optimization with Distributed Exploration Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet 2021-10-27 NeurIPS 2021 Poster https://github.com/daizhongxiang/Differentially-Private-Federated-Bayesian-Optimization http://arxiv.org/abs/2110.14153v1
522 Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low 2021-10-26 NeurIPS https://github.com/flint-xf-fan/Byzantine-Federeated-RL https://proceedings.neurips.cc/paper/2021/hash/080acdcce72c06873a773c4311c2e464-Abstract.html
523 FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li 2021-10-26 NeurIPS https://github.com/jeremy313/FL-WBC https://proceedings.neurips.cc/paper/2021/hash/692baebec3bb4b53d7ebc3b9fabac31b-Abstract.html
524 CAFE: Catastrophic Data Leakage in Vertical Federated Learning Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen 2021-10-26 arXiv https://github.com/DeRafael/CAFE https://arxiv.org/abs/2110.15122
525 The Skellam Mechanism for Differentially Private Federated Learning Naman Agarwal, Peter Kairouz, Ziyu Liu 2021-10-11 NeurIPS https://github.com/google-research/federated/tree/master/distributed_dp https://proceedings.neurips.cc/paper/2021/hash/285baacbdf8fda1de94b19282acd23e2-Abstract.html
526 Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning Zhen Chen, Meilu Zhu, Chen Yang, Yixuan Yuan 2021-10-01 MICCAI https://github.com/CityU-AIM-Group/PRR-FL https://doi.org/10.1007/978-3-030-87199-4_33
527 Federated Multi-Task Learning under a Mixture of Distributions Othmane Marfoq, Giovanni Neglia, Aurélien Bellet, Laetitia Kameni, Richard Vidal 2021-08-23 NeurIPS https://github.com/omarfoq/FedEM https://proceedings.neurips.cc/paper/2021/hash/82599a4ec94aca066873c99b4c741ed8-Abstract.html
528 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang 2021-08-19 NeurIPS https://github.com/cuis15/FCFL https://proceedings.neurips.cc/paper/2021/hash/db8e1af0cb3aca1ae2d0018624204529-Abstract.html
529 Personalized Federated Learning With Gaussian Processes Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya 2021-06-29 NeurIPS https://idanachituve.github.io/projects/pFedGP/ https://proceedings.neurips.cc/paper/2021/hash/46d0671dd4117ea366031f87f3aa0093-Abstract.html
530 Federated Graph Classification over Non-IID Graphs Han Xie, Jing Ma, Li Xiong, Carl Yang 2021-06-25 NeurIPS 2021 Poster https://github.com/Oxfordblue7/GCFL http://arxiv.org/abs/2106.13423v5
531 Subgraph Federated Learning with Missing Neighbor Generation Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu 2021-06-25 NeurIPS https://github.com/zkhku/fedsage https://proceedings.neurips.cc/paper/2021/hash/34adeb8e3242824038aa65460a47c29e-Abstract.html
532 Optimality and Stability in Federated Learning: A Game-theoretic Approach Kate Donahue, Jon M. Kleinberg 2021-06-17 NeurIPS https://github.com/kpdonahue/model_sharing_games https://proceedings.neurips.cc/paper/2021/hash/09a5e2a11bea20817477e0b1dfe2cc21-Abstract.html
533 Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching Quande Liu, Hongzheng Yang, Qi Dou, Pheng-Ann Heng 2021-06-16 arXiv https://github.com/liuquande/FedIRM http://arxiv.org/abs/2106.08600v1
534 CRFL: Certifiably Robust Federated Learning against Backdoor Attacks Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li 2021-06-15 ICML https://github.com/AI-secure/CRFL http://proceedings.mlr.press/v139/xie21a.html
535 Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection Tuo Zhang, Chaoyang He, Tianhao Ma, Lei Gao, Mark Ma, Salman Avestimehr 2021-06-15 arXiv https://github.com/FedML-AI/FedIoT https://arxiv.org/abs/2106.07976
536 On Large-Cohort Training for Federated Learning Zachary Charles, Zachary Garrett, Zhouyuan Huo, Sergei Shmulyian, Virginia Smith 2021-06-15 NeurIPS https://github.com/google-research/federated/tree/f4e26c1b9b47ac320e520a8b9943ea2c5324b8c2/large_cohort https://proceedings.neurips.cc/paper/2021/hash/ab9ebd57177b5106ad7879f0896685d4-Abstract.html
537 Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing Mikhail Khodak, Renbo Tu, Tian Li, Liam Li, Maria-Florina Balcan, Virginia Smith, Ameet Talwalkar 2021-06-08 NeurIPS 2021 Poster https://github.com/mkhodak/fedex http://arxiv.org/abs/2106.04502v2
538 FedBABU: Towards Enhanced Representation for Federated Image Classification Jaehoon Oh, Sangmook Kim, Se-Young Yun 2021-06-04 ICLR 2022 Poster https://github.com/jhoon-oh/FedBABU http://arxiv.org/abs/2106.06042v3
539 SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr 2021-06-04 arXiv https://github.com/FedML-AI/SpreadGNN https://arxiv.org/abs/2106.02743
540 PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization Bingyan Liu, Yao Guo, Xiangqun Chen 2021-06 WWW '21: Proceedings of the Web Conference 2021 https://github.com/lebyni/PFA https://dl.acm.org/doi/10.1145/3442381.3449847
541 HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Julian O. Matschinske, Jan Baumbach, Daniel Rueckert, Georgios Kaissis 2021-05-21 arXiv https://github.com/tum-aimed/hyfed https://arxiv.org/abs/2105.10545
542 A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning Rajitha Hathurusinghe, Isar Nejadgholi, Miodrag Bolic 2021-05-19 arXiv https://github.com/ratmcu/wikipiifed https://arxiv.org/abs/2105.09198
543 DRIVE: One-bit Distributed Mean Estimation Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher 2021-05-18 NeurIPS 2021 Poster https://github.com/amitport/DRIVE-One-bit-Distributed-Mean-Estimation http://arxiv.org/abs/2105.08339v5
544 OpenFL: An open-source framework for Federated Learning G. Anthony Reina, Alexey Gruzdev, Patrick Foley, Olga Perepelkina, Mansi Sharma, Igor Davidyuk, Ilya Trushkin, Maksim Radionov, Aleksandr Mokrov, Dmitry Agapov, Jason Martin, Brandon Edwards, Micah J. Sheller, Sarthak Pati, Prakash Narayana Moorthy, Hans Shih-Han Wang, Prashant Shah, Spyridon Bakas 2021-05-13 arXiv https://github.com/intel/openfl https://arxiv.org/abs/2105.06413
545 Federated Learning with Fair Averaging Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Chenglu Wen, Cheng Wang, Rongshan Yu 2021-04-30 IJCAI https://github.com/WwZzz/easyFL https://doi.org/10.24963/ijcai.2021/223
546 FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Carl Yang, Han Xie, Lichao Sun, Lifang He, Liangwei Yang, Philip S. Yu, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr 2021-04-14 arXiv https://github.com/FedML-AI/FedGraphNN https://arxiv.org/abs/2104.07145
547 Artifact: Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications Sangsu Lee, Xi Zheng, Jie Hua, Haris Vikalo, Christine Julien 2021-03-22 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) https://github.com/UT-MPC/swarm https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9431012
548 FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng 2021-03-10 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/liuquande/FedDG-ELCFS https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9577482
549 FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization Quoc Tran-Dinh, Nhan H. Pham, Dzung T. Phan, Lam M. Nguyen 2021-03-05 NeurIPs 2021 https://github.com/unc-optimization/FedDR http://arxiv.org/abs/2103.03452v3
550 Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning Pengfei Guo, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel 2021-03-03 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/guopengf/FL-MRCM https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9578476
551 One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning Guangxu Zhu, Yuqing Du, Deniz Gündüz, Kaibin Huang 2021-03-01 GLOBECOM 2020 - 2020 IEEE Global Communications Conference https://github.com/BornHater/One-bit-over-the-air-computation https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9322334
552 FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou 2021-02-15 ICLR https://github.com/med-air/FedBN https://openreview.net/forum?id=6YEQUn0QICG
553 Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang 2021-02-09 International Conference on Machine Learning (ICML 2021) https://github.com/Optimization-AI/ICML2021_FedDeepAUC_CODASCA http://arxiv.org/abs/2102.04635v3
554 Federated Reconstruction: Partially Local Federated Learning Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, J Keith Rush, Sushant Prakash 2021-02-05 NeurIPS https://github.com/google-research/federated/tree/master/reconstruction https://proceedings.neurips.cc/paper/2021/hash/5d44a2b0d85aa1a4dd3f218be6422c66-Abstract.html
555 Federated Multi-Armed Bandits Chengshuai Shi, Cong Shen 2021-01-28 arXiv https://github.com/ShenGroup/FMAB http://arxiv.org/abs/2101.12204v2
556 Dopamine: Differentially Private Federated Learning on Medical Data Mohammad Malekzadeh, Burak Hasircioglu, Nitish Mital, Kunal Katarya, Mehmet Emre Ozfatura, Deniz Gündüz 2021-01-27 arXiv https://github.com/ipc-lab/private-ml-for-health https://arxiv.org/abs/2101.11693
557 Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms Maruan Al-Shedivat, Jennifer Gillenwater, Eric P. Xing, Afshin Rostamizadeh 2021-01-01 arXiv https://github.com/alshedivat/fedpa https://arxiv.org/abs/2010.05273
558 WAFFLE: Watermarking in Federated Learning Buse G. A. Tekgul, Yuxi Xia, Samuel Marchal, N. Asokan 2021-01-01 2021 40th International Symposium on Reliable Distributed Systems (SRDS) https://github.com/ssg-research/WAFFLE https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9603498
559 Perception Poisoning Attacks in Federated Learning Ka Ho Chow, Ling Liu 2021-01-01 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA) https://github.com/git-disl/Perception-Poisoning https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9750251
560 Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation Kate Donahue, Jon M. Kleinberg 2021-01-01 arXiv https://github.com/kpdonahue/model_sharing_games https://arxiv.org/abs/2010.00753
561 From Gradient Leakage To Adversarial Attacks In Federated Learning Jia Qi Lim, Chee Seng Chan 2021-01-01 2021 IEEE International Conference on Image Processing (ICIP) https://github.com/Jiaqi0602/adversarial-attack-from-leakage/ https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9506589
562 Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang 2021-01-01 ICLR https://github.com/wyjeong/FedMatch https://openreview.net/forum?id=ce6CFXBh30h
563 Soteria: Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen 2021-01-01 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://github.com/jeremy313/Soteria https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9578192
564 Federated Continual Learning with Weighted Inter-client Transfer Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang 2021-01-01 ICML https://github.com/wyjeong/FedWeIT http://proceedings.mlr.press/v139/yoon21b.html
565 FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning Wei Chen, Kartikeya Bhardwaj, Radu Marculescu 2021-01-01 ECML/PKDD https://github.com/weichennone/FedMAX https://doi.org/10.1007/978-3-030-67661-2_21
566 FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen, Wei-Lun Chao 2021-01-01 ICLR https://github.com/hongyouc/FedBE https://openreview.net/forum?id=dgtpE6gKjHn
567 DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning Hang Xu, Kelly Kostopoulou, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis 2021-01-01 NeurIPS https://github.com/hangxu0304/DeepReduce https://proceedings.neurips.cc/paper/2021/hash/b0ab42fcb7133122b38521d13da7120b-Abstract.html
568 A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks Mingzhe Chen, Zhaohui Yang, Walid Saad, Changchuan Yin, H. Vincent Poor, Shuguang Cui 2021-01-01 IEEE Transactions on Wireless Communications https://github.com/mzchen0/Wireless-FL https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9210812
569 A Federated Multigraph Integration Approach for Connectional Brain Template Learning Hizir Can Bayram, Islem Rekik 2021-01-01 ML-CDS@MICCAI https://github.com/basiralab/Fed-CBT https://doi.org/10.1007/978-3-030-89847-2_4
570 Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models Ruiyuan Wu, Anna Scaglione, Hoi-To Wai, Nurullah Karakoç, Kari Hreinsson, Wing-Kin Ma 2021-01-01 arXiv https://github.com/REIYANG/FedBCD https://arxiv.org/abs/2012.13900
571 Soft-Label Dataset Distillation and Text Dataset Distillation I. Sucholutsky, M. Schonlau 2021 2021 International Joint Conference on Neural Networks (IJCNN) https://github.com/ilia10000/dataset-distillation https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9533769
572 Time- and Computation-Efficient Data Localization at Vehicular Networks’ Edge R. Duvignau, B. Havers, V. Gulisano, M. Papatriantafilou 2021 IEEE Access https://github.com/dcs-chalmers/dataloc_vn https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9562541
573 Use Procedural Noise to Achieve Backdoor Attack X. Chen, Y. Ma, S. Lu 2021 IEEE Access https://github.com/928082786/pnoiseattack https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9529206
574 Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images B. N. Kim, J. Dolz, P. -M. Jodoin, C. Desrosiers 2021 IEEE Transactions on Medical Imaging https://github.com/bachkimn/Privacy-Net-An-Adversarial-Approach-forIdentity-Obfuscated-Segmentation-of-MedicalImages https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9376890
575 Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism Y. Liu, L. Wu, Y. Zhan, S. Guo, Z. Hong 2021 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS) https://github.com/Joey61Liuyi/Chiron https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9546525
576 Federated Composite Optimization Honglin Yuan, Manzil Zaheer, Sashank Reddi 2020-11-17 arXiv https://github.com/hongliny/FCO-ICML21 http://arxiv.org/abs/2011.08474v3
577 End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things Yansong Gao, Minki Kim, Sharif Abuadbba, Yeonjae Kim, Chandra Thapa, Kyuyeon Kim, Seyit Ahmet Çamtepe, Hyoungshick Kim, Surya Nepal 2020-09-01 2020 International Symposium on Reliable Distributed Systems (SRDS) https://github.com/Minki-Kim95/Federated-Learning-and-Split-Learning-with-raspberry-pi https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9252066
578 Fed-Sim: Federated Simulation for Medical Imaging Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F Frangi, Sanja Fidler 2020-09-01 arXiv https://nv-tlabs.github.io/fed-sim/ http://arxiv.org/abs/2009.00668v1
579 Learn distributed GAN with Temporary Discriminators Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris Metaxas 2020-07-17 arXiv https://github.com/huiqu18/TDGAN-PyTorch http://arxiv.org/abs/2007.09221v1
580 Federated Learning with Matched Averaging Hongyi Wang, Mikhail Yurochkin, Yuekai Sun, Dimitris S. Papailiopoulos, Yasaman Khazaeni 2020-02-15 ICLR https://github.com/IBM/FedMA https://openreview.net/forum?id=BkluqlSFDS
581 Think Locally, Act Globally: Federated Learning with Local and Global Representations Paul Pu Liang, Terrance Liu, Liu Ziyin, Nicholas B. Allen, Randy P. Auerbach, David Brent, Ruslan Salakhutdinov, Louis-Philippe Morency 2020-01-06 arXiv https://github.com/pliang279/LG-FedAvg http://arxiv.org/abs/2001.01523
582 Fair Resource Allocation in Federated Learning Tian Li, Maziar Sanjabi, Ahmad Beirami, Virginia Smith 2020-01-01 ICLR https://github.com/litian96/fair_flearn https://openreview.net/forum?id=ByexElSYDr
583 DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks S. Wiedemann, H. Kirchhoffer, S. Matlage, P. Haase, A. Marban, T. Marinč, D. Neumann, T. Nguyen, H. Schwarz, T. Wiegand, D. Marpe, W. Samek 2020 IEEE Journal of Selected Topics in Signal Processing https://github.com/fraunhoferhhi/DeepCABAC https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8970294
584 Analyzing Federated Learning through an Adversarial Lens Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin B. Calo 2019-01-01 arXiv https://github.com/inspire-group/ModelPoisoning http://arxiv.org/abs/1811.12470
585 Mitigating Sybils in Federated Learning Poisoning Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh 2018-08-14 arXiv https://github.com/DistributedML/FoolsGold http://arxiv.org/abs/1808.04866
586 Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Yujun Lin, Song Han, Huizi Mao, Yu Wang, William J. Dally 2017-12-05 ICLR 2018 https://github.com/synxlin/deep-gradient-compression http://arxiv.org/abs/1712.01887v3
587 Accumulative Poisoning Attacks on Real-time Data Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu nan NeurIPS 2021 Poster https://github.com/ShawnXYang/AccumulativeAttack https://openreview.net/pdf/d65209823dabc51160d13fcccbd40f453b80b4d3.pdf
588 An Analysis of Transferability in Network Intrusion Detection using Distributed Deep Learning Shreya Ghosh, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal nan Submitted to Tiny Papers @ ICLR 2023 https://github.com/ghosh64/fedlearn https://openreview.net/pdf/18ec29f439f4abc1f075d093d49fb13189dc7953.pdf
589 FedFA: Federated Feature Augmentation Tianfei Zhou, Ender Konukoglu nan ICLR 2023 poster https://github.com/tfzhou/FedFA https://openreview.net/pdf/83d761ced643dbc84793236240410a72064dcf32.pdf
590 FedGS: Federate Graph-based Sampling with Arbitrary Client Availability Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Haibing Jin, peizhen yang, Siqi Shen, Cheng Wang nan OpenReview https://github.com/WwZzz/FedGS https://arxiv.org/pdf/2211.13975.pdf
591 Federated Blood Supply Chain Demand Forecasting: A Case Study Hanzhe Wei, Na Li, Jiajun Wu, Jiayu Zhou, STEVE DREW nan FL4Data-Mining Poster https://github.com/denoslab/fl-blood-supply-chain https://openreview.net/pdf/a9db7e2ac081d21563af2ec030b56617adea61c6.pdf
592 Generative Models for Effective ML on Private, Decentralized Datasets Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Aguera y Arcas nan OpenReview https://github.com/tensorflow/federated/tree/master/tensorflow_federated/python/research/gans https://openreview.net/pdf/ec8b5bcb57ec7ce967ce19be3e0aa3389526aca0.pdf
593 Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning Xinyi Xu, Lingjuan Lyu, Xingjun Ma, Chenglin Miao, Chuan-Sheng Foo, Bryan Kian Hsiang Low nan NeurIPS 2021 Poster https://github.com/XinyiYS/Gradient-Driven-Rewards-to-Guarantee-Fairness-in-Collaborative-Machine-Learning https://openreview.net/pdf/a0b90251635339995dc84267af94b013b0da36b0.pdf
594 Gradient Inversion with Generative Image Prior Jinwoo Jeon, Jaechang Kim, Kangwook Lee, Sewoong Oh, Jungseul Ok nan NeurIPS 2021 Poster https://github.com/ml-postech/gradient-inversion-generative-image-prior https://openreview.net/pdf/a2d4097596388e4a3608a53c05551e2213298718.pdf
595 MocoSFL: enabling cross-client collaborative self-supervised learning Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger nan ICLR 2023 notable top 5% https://github.com/SonyAI/MocoSFL https://openreview.net/pdf/e7d98a4942f9fa3e0236bec53218b97e0792f3ee.pdf
596 Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices Max Ryabinin, Eduard Gorbunov, Vsevolod Plokhotnyuk, Gennady Pekhimenko nan NeurIPS 2021 Poster https://github.com/yandex-research/moshpit-sgd https://openreview.net/pdf/52ba0e1c4ac8204231555ba0fe03623d12981dd4.pdf
597 On Federated Learning of Deep Networks from Non-IID Data: Parameter Divergence and the Effects of Hyperparametric Methods Heejae Kim, Taewoo Kim, Chan-Hyun Youn nan OpenReview https://github.com/fl-noniid/fl-noniid https://openreview.net/pdf/5e77d730063a01ed6a3cd0b0b51e689011736107.pdf
598 On the Convergence of FedAvg on Non-IID Data Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang nan OpenReview https://github.com/lx10077/fedavgpy https://openreview.net/pdf/dcd68da80bc99678b1254ec0b4d49dee872c7898.pdf
599 Preserved central model for faster bidirectional compression in distributed settings Constantin Philippenko, Aymeric Dieuleveut nan NeurIPS 2021 Poster https://github.com/philipco/mcm-bidirectional-compression https://openreview.net/pdf/5c4a6778e03d94596f6007c49682bea07081ba34.pdf
600 Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes Sanghyun Hong, Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Tudor Dumitras nan NeurIPS 2021 Poster https://github.com/Secure-AI-Systems-Group/Qu-ANTI-zation https://openreview.net/pdf/d99b499610c11e58db2b8e2b8b421fbd7ec493a8.pdf
601 R-GAP: Recursive Gradient Attack on Privacy Junyi Zhu, Matthew B. Blaschko nan ICLR 2021 Poster https://github.com/JunyiZhu-AI/R-GAP https://openreview.net/pdf/943e8621d1ff1fb8b9daa8cc68876c327966099c.pdf
602 Robust and differentially private mean estimation Xiyang Liu, Weihao Kong, Sham M. Kakade, Sewoong Oh nan NeurIPS 2021 Poster https://github.com/SewoongLab/robust_dp https://openreview.net/pdf/89291f9e9687066d4c09fe7e4a2a42ca85637a3d.pdf
603 Validation Free and Replication Robust Volume-based Data Valuation Xinyi Xu, Zhaoxuan Wu, Chuan-Sheng Foo, Bryan Kian Hsiang Low nan NeurIPS 2021 Poster https://github.com/ZhaoxuanWu/VolumeBased-DataValuation https://openreview.net/pdf/48155495ba2187295435b80d88dadf92ed45d9ce.pdf