fedir

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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
classification fedavg fedavgm federated-learning fedir fedprox fedsgd fedvc heterogeneity imbalance non-iid pytorch sgd
Language:Python 64

c-gabri / Federated-Learning-PyTorch