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Federated Learning System

  • Towards Federated Learning at Scale: System Design [Paper] [Must Read]
  • Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection [Paper]

System Design

  • Towards Federated Learning at Scale: System Design [Paper] [Must Read]
  • Oort: Informed Participant Selection for Scalable Federated Learning [Paper] [OSDI 2021][Nice paper]
  • Pisces: Efficient Federated Learning via Guided Asynchronous Training [Paper] [SoCC 2022][Beat Oort]
  • Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy [Paper] (Startup)
  • Flower: A Friendly Federated Learning Framework [Paper]
  • Demonstration of Federated Learning in a Resource-Constrained Networked Environment [Paper]

Frameworks

Applications On Edge

  • A Privacy-Preserving Deep Learning Approach for Face Recognition with Edge Computing [Paper] [HotEdge18]

Edge AI

  • DeCaf: Iterative Collaborative Processing over the Edge [Paper] [HotEdge19]
  • When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning [Paper] [IEEE INFOCOM 2018]
  • Astraea: Self-balancing federated learning for improving classification accuracy of mobile deep learning applications [Paper]
  • Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge [Paper] (FedCS)
  • Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data [Paper]
    • Ask to upload some data from client to server
  • Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach [Paper]
    • Reward function: accumulated data, energy consumption, training accuracy
  • Low-latency Broadband Analog Aggregation For Federated Edge Learning [Paper]
  • Federated Learning over Wireless Fading Channels [Paper]
  • Federated Learning via Over-the-Air Computation [Paper]
  • Federated Learning-Based Computation Offloading Optimization in Edge Computing-Supported Internet of Things [Paper] [IEEE Access]
  • Collaborative Learning on the Edges: A Case Study on Connected Vehicles [Paper] [HotEdge19]
  • Federated Multi-task Hierarchical Attention Model for Sensor Analytics[Paper]
  • Federated Learning Based Proactive Content Caching in Edge Computing [Paper] [GLOBECOM 2018]
  • Client-Edge-Cloud Hierarchical Federated Learning [Paper]