Handy PyTorch implementation of Federated Learning (for your painless research)
-
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
Add a description, image, and links to the fedadam topic page so that developers can more easily learn about it.
To associate your repository with the fedadam topic, visit your repo's landing page and select "manage topics."