Handy PyTorch implementation of Federated Learning (for your painless research)
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Updated
Nov 16, 2023 - Python
Handy PyTorch implementation of Federated Learning (for your painless research)
Federated Fusion CUDA primitives for FL server-side aggregation, optimization, compression, and robustness.
Experiments of the FL in Healthcare project - MRI images use case - using Flower
Official implementation of DP-FedSOFIM: differentially private federated learning with second-order Fisher Information Matrix optimization (TMLR 2026, under review)
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