Dive into Federated Learning

Tutorials and paper lists for federated learning.

Wish this can help you dive into FL more easily.

关于联邦学习的教程和论文列表。希望能方便大家入门联邦学习。

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Tutorials 教程

[ICLR-DPML 2021] FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks [Paper] [Code]
[arXiv 2021] Federated Graph Learning -- A Position Paper [Paper]
[IEEE TKDE 2021] A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection [Paper]
[arXiv 2021] A Survey of Fairness-Aware Federated Learning [Paper]
[Foundations and Trends in Machine Learning 2021] Advances and Open Problems in Federated Learning [Paper] [Chinese Version] [FL FAQ]
[arXiv 2020] Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective [Paper]
[IEEE Signal Processing Magazine 2020] Federated Learning: Challenges, Methods, and Future Directions [Paper]
[IEEE Communications Surveys & Tutorials 2020] Federated Learning in Mobile Edge Networks A Comprehensive Survey [Paper]
[IEEE TIST 2019] Federated Machine Learning: Concept and Applications [Paper]

FedLab-benchmarks: Code
[ACM TIST 2022] The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems [Code] [Paper]
[IEEE ICDE 2022] Federated Learning on Non-IID Data Silos: An Experimental Study [Paper] [Official Code] [FedLab Tutorial]
[ICLR-DPML 2021] FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks [Paper] [Code]
[arXiv 2018] LEAF: A Benchmark for Federated Settings [Homepage] [Official tensorflow] [Unofficial PyTorch] [Paper]

[ICLR 2021] Federated Semi-supervised Learning with Inter-Client Consistency & Disjoint Learning [Paper] [Code]
[arXiv 2021] SemiFL: Communication Efficient Semi-Supervised Federated Learning with Unlabeled Clients [Paper]
[IEEE BigData 2021] Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models [Paper]
[arXiv 2020] Benchmarking Semi-supervised Federated Learning [Paper]] [Code]

[arXiv 2022] Sky Computing: Accelerating Geo-distributed Computing in Federated Learning [Paper] [Code]
[ACM HPDC 2020] TiFL: A Tier-based Federated Learning System [Paper] [Video]