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

Date Created 2022-01-05 (3 years ago)
Commits 204 (last one 2 years ago)
Stargazers 75 (1 this week)
Watchers 2 (0 this week)
Forks 14
License gpl-3.0
Ranking

RepositoryStats indexes 617,630 repositories, of these c-gabri/Federated-Learning-PyTorch is ranked #370,406 (40th percentile) for total stargazers, and #493,838 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #70,653/124,984.

c-gabri/Federated-Learning-PyTorch is also tagged with popular topics, for these it's ranked: pytorch (#4,181/6139),  classification (#371/558),  federated-learning (#119/215)

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c-gabri/Federated-Learning-PyTorch has Github issues enabled, there are 2 open issues and 0 closed issues.

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137 commits on the default branch (master) since jan '22

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updated: 2025-02-20 @ 06:51pm, id: 444874361 / R_kgDOGoQ-eQ