All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

Federated Optimization in Heterogeneous Networks (MLSys '20)

A benchmarking framework for decentralized optimization

This repository explores federated deep generative models with PyTorch, featuring Conditional DCGAN, FedGAN v2, and custom synchronization strategies. It demonstrates client-server training with FedAvg, non-IID data splits, and GAN evaluation, providing a foundation for research in privacy-preserving generative modeling.