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add WSDM, Mach Learn 2024 papers
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youngfish42 committed Apr 10, 2024
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Expand Up @@ -75,11 +75,11 @@ We use another project to automatically track updates to FL papers, click on [FL
| [ICLR](https://dblp.uni-trier.de/search?q=federate%20venue%3AICLR%3A) | [24](https://openreview.net/group?id=ICLR.cc/2024/Conference), [23](https://openreview.net/group?id=ICLR.cc/2023/Conference), [22](https://openreview.net/group?id=ICLR.cc/2022/Conference), [21](https://openreview.net/group?id=ICLR.cc/2021/Conference), [20](https://openreview.net/group?id=ICLR.cc/2020/Conference) | - |
| [COLT](https://dblp.org/search?q=federated%20venue%3ACOLT%3A) | [23](https://proceedings.mlr.press/v195/) | - |
| [UAI](https://dblp.org/search?q=federated%20venue%3AUAI%3A) | [23](https://www.auai.org/uai2023/accepted_papers), [22](https://www.auai.org/uai2022/accepted_papers), [21](https://www.auai.org/uai2021/accepted_papers) | - |
| [Machine Learning](https://dblp.uni-trier.de/search?q=federate%20streamid%3Ajournals%2Fml%3A) (J) | 23, 22 | - |
| [Machine Learning](https://dblp.uni-trier.de/search?q=federate%20streamid%3Ajournals%2Fml%3A) (J) | 24, 23, 22 | - |
| [JMLR](https://dblp.uni-trier.de/search?q=federated%20streamid%3Ajournals%2Fjmlr%3A) (J) | 23, 22 | - |
| [TPAMI](https://dblp.uni-trier.de/search?q=federated%20streamid%3Ajournals%2Fpami%3A) (J) | 23, 22 | - |
| [KDD](https://dblp.uni-trier.de/search?q=federate%20venue%3AKDD%3A) | [23](https://dl.acm.org/doi/proceedings/10.1145/3580305), [22](https://kdd.org/kdd2022/paperRT.html), [21](https://kdd.org/kdd2021/accepted-papers/index), [20](https://www.kdd.org/kdd2020/accepted-papers) | |
| [WSDM](https://dblp.uni-trier.de/search?q=federate%20venue%3AWSDM%3A) | [23](https://www.wsdm-conference.org/2023/program/accepted-papers), [22](https://www.wsdm-conference.org/2022/accepted-papers/), [21](https://www.wsdm-conference.org/2021/accepted-papers.php) | [19](https://www.wsdm-conference.org/2019/accepted-papers.php) |
| [WSDM](https://dblp.uni-trier.de/search?q=federate%20venue%3AWSDM%3A) | [24](https://www.wsdm-conference.org/2024/accepted-papers/), [23](https://www.wsdm-conference.org/2023/program/accepted-papers), [22](https://www.wsdm-conference.org/2022/accepted-papers/), [21](https://www.wsdm-conference.org/2021/accepted-papers.php) | [19](https://www.wsdm-conference.org/2019/accepted-papers.php) |
| [S&P](https://dblp.uni-trier.de/search?q=federated%20streamid%3Aconf%2Fsp%3A) | [23](https://sp2023.ieee-security.org/program-papers.html), [22](https://www.ieee-security.org/TC/SP2022/program-papers.html) | [19](https://www.ieee-security.org/TC/SP2019/program-papers.html) |
| [CCS](https://dblp.uni-trier.de/search?q=federate%20venue%3ACCS%3A) | [23](https://dl.acm.org/doi/proceedings/10.1145/3576915), [22](https://www.sigsac.org/ccs/CCS2022/program/accepted-papers.html), [21](https://sigsac.org/ccs/CCS2021/accepted-papers.html), [19](https://www.sigsac.org/ccs/CCS2019/index.php/program/accepted-papers/) | [17](https://acmccs.github.io/papers/) |
| [USENIX Security](https://dblp.uni-trier.de/search?q=federated%20streamid%3Aconf%2Fuss%3A) | [23](https://www.usenix.org/conference/usenixsecurity23/technical-sessions), [22](https://www.usenix.org/conference/usenixsecurity22/technical-sessions), [20](https://www.usenix.org/conference/usenixsecurity20/technical-sessions) | - |
Expand Down Expand Up @@ -433,7 +433,7 @@ Federated Learning papers accepted by top ML(machine learning) conference and jo
- [ICLR](https://dblp.uni-trier.de/search?q=federate%20venue%3AICLR%3A) [2024](https://openreview.net/group?id=ICLR.cc/2024/Conference), [2023](https://openreview.net/group?id=ICLR.cc/2023/Conference), [2022](https://openreview.net/group?id=ICLR.cc/2022/Conference), [2021](https://openreview.net/group?id=ICLR.cc/2021/Conference), [2020](https://openreview.net/group?id=ICLR.cc/2020/Conference)
- [COLT](https://dblp.org/search?q=federated%20venue%3ACOLT%3A) [2023](https://proceedings.mlr.press/v195/)
- [UAI](https://dblp.org/search?q=federated%20venue%3AUAI%3A) [2023](https://www.auai.org/uai2023/accepted_papers), [2022](https://www.auai.org/uai2022/accepted_papers), [2021](https://www.auai.org/uai2021/accepted_papers)
- [Machine Learning](https://dblp.uni-trier.de/search?q=federate%20streamid%3Ajournals%2Fml%3A) 2023, 2022
- [Machine Learning](https://dblp.uni-trier.de/search?q=federate%20streamid%3Ajournals%2Fml%3A) 2024, 2023, 2022
- [JMLR](https://dblp.uni-trier.de/search?q=federated%20streamid%3Ajournals%2Fjmlr%3A) 2023([v24](https://jmlr.org/papers/v24/)), 2021([v22](https://jmlr.org/papers/v22/))
- [TPAMI](https://dblp.uni-trier.de/search?q=federated%20streamid%3Ajournals%2Fpami%3A) 2023, 2022

Expand All @@ -443,6 +443,7 @@ Federated Learning papers accepted by top ML(machine learning) conference and jo

|Title | Affiliation | Venue | Year | Materials|
| ------------------------------------------------------------ | ------------------------------------------------------------ | -------------- | ---- | ------------------------------------------------------------ |
|Aligning model outputs for class imbalanced non-IID federated learning | NJU | Mach Learn | 2024 | [[PUB](https://link.springer.com/article/10.1007/s10994-022-06241-5)] |
| No One Left Behind: Real-World Federated Class-Incremental Learning | CAS; UCAS | TPAMI | 2024 | [[PUB](https://ieeexplore.ieee.org/document/10323204)] [[PDF](https://arxiv.org/abs/2302.00903)] [[CODE](https://github.com/JiahuaDong/LGA)] |
| Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning | WHU | TPAMI | 2024 | [[PUB](https://ieeexplore.ieee.org/document/10295990)] [[PDF](https://arxiv.org/abs/2309.16286)] [[CODE](https://github.com/WenkeHuang/FCCL)] |
| Multi-Stage Asynchronous Federated Learning With Adaptive Differential Privacy | HPU; XJTU | TPAMI | 2024 | [[PUB](https://ieeexplore.ieee.org/document/10316599)] [[PDF](https://arxiv.org/abs/1912.07902)] [[CODE](https://github.com/IoTDATALab/MAPA)] |
Expand Down Expand Up @@ -996,14 +997,16 @@ Federated Learning papers accepted by top ML(machine learning) conference and jo
Federated Learning papers accepted by top DM(Data Mining) conference and journal, Including [KDD](https://dblp.uni-trier.de/db/conf/kdd/index.html)(ACM SIGKDD Conference on Knowledge Discovery and Data Mining) and [WSDM](https://dblp.uni-trier.de/db/conf/wsdm/index.html)(Web Search and Data Mining).

- [KDD](https://dblp.uni-trier.de/search?q=federate%20venue%3AKDD%3A) [2023](https://dl.acm.org/doi/proceedings/10.1145/3580305)([Research Track](https://kdd.org/kdd2023/research-track-papers/), [Applied Data Science track](https://kdd.org/kdd2023/ads-track-papers/), [Workshop](https://fl4data-mining.github.io/papers/)), 2022([Research Track](https://kdd.org/kdd2022/paperRT.html), [Applied Data Science track](https://kdd.org/kdd2022/paperADS.html)), [2021](https://kdd.org/kdd2021/accepted-papers/index), [2020](https://www.kdd.org/kdd2020/accepted-papers)
- [WSDM](https://dblp.uni-trier.de/search?q=federate%20venue%3AWSDM%3A) [2023](https://www.wsdm-conference.org/2023/program/accepted-papers), [2022](https://www.wsdm-conference.org/2022/accepted-papers/), [2021](https://www.wsdm-conference.org/2021/accepted-papers.php), [2019](https://www.wsdm-conference.org/2019/accepted-papers.php)
- [WSDM](https://dblp.uni-trier.de/search?q=federate%20venue%3AWSDM%3A) [2024](https://www.wsdm-conference.org/2024/accepted-papers/), [2023](https://www.wsdm-conference.org/2023/program/accepted-papers), [2022](https://www.wsdm-conference.org/2022/accepted-papers/), [2021](https://www.wsdm-conference.org/2021/accepted-papers.php), [2019](https://www.wsdm-conference.org/2019/accepted-papers.php)

<details open>
<summary>fl in top dm conference and journal</summary>
<!-- START:fl-in-top-dm-conference-and-journal -->

|Title | Affiliation | Venue | Year | Materials|
| ------------------------------------------------------------ | ---------------------------------------------------------- | ---------------------- | ---- | ------------------------------------------------------------ |
|User Consented Federated Recommender System Against Personalized Attribute Inference Attack | HKUST | WSDM | 2024 | [PUB](https://dl.acm.org/doi/10.1145/3616855.3635830) [PDF](https://arxiv.org/abs/2312.16203) [CODE](https://github.com/hkust-knowcomp/uc-fedrec) |
|Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning | ECNU | WSDM | 2024 | [PUB](https://dl.acm.org/doi/10.1145/3616855.3635758) |
| Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation | University of Cambridge | KDD | 2023 | [[PUB](https://dl.acm.org/doi/10.1145/3580305.3599475)] [[PDF](https://arxiv.org/abs/2210.11050)] |
| FedDefender: Client-Side Attack-Tolerant Federated Learning | KAIST | KDD | 2023 | [[PUB](https://dl.acm.org/doi/10.1145/3580305.3599346)] [[PDF](https://arxiv.org/abs/2307.09048)] [[CODE](https://github.com/deu30303/feddefender)] |
| FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity | ZJU | KDD | 2023 | [[PUB](https://dl.acm.org/doi/10.1145/3580305.3599344)] [[CODE](https://github.com/zhenqincn/FedAPEN)] |
Expand Down Expand Up @@ -2254,6 +2257,7 @@ This section partially refers to [The Federated Learning Portal](https://federat

![](https://img.shields.io/github/last-commit/youngfish42/Awesome-FL)

- *2024/04/10 - add WSDM, Mach Learn 2024 papers*
- *2024/03/28 - add AAAI, TC, TPAMI, TPDS, VLDB 2024 papers*
- *2024/03/08 - add TPAMI, TC, TCAD 2024 papers*
- *2024/02/23 - add ICLR 2024 papers*
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