c-gabri/Federated-Learning-PyTorch
PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arbitrary non-identicalness and imbalance (Dirichlet priors). Client systems can be arbitrarily heterogeneous. Several mobile-friendly models are provided
PythonGPL-3.0
Stargazers
- 8998-hash
- b856741
- Boyub0Nanyang Technological University
- chenxr35
- Clin0212
- dadapongI6
- Dorsa-ArezoojiQueen Mary University of London
- easylifeeveryday
- Erosinho13Politecnico di Torino
- fkylwl
- fvarnoDalhousie University
- gubertoliGermany
- hossainzarifSouthern Illinois University, Carbondale
- idyllic990920
- JianzhaoLi中国陕西西安
- kevinPoliPoliPolitecnico di Torino
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- KyonQi
- LiuRuige
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- SankHyan24Zhejiang University
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- ShuyaFengConnecticut
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- SunnyBoy-WYHBIT
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- tianhaoo中国 苏州
- TLtianli
- TongfeiLiuShaanxi University of Science and Technology
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