This repo uses PyTorch's native distributed module in an implementation of federated learning.

It comes with a few experimental setups; various Residual Networks on CIFAR10, CIFAR100, FEMNIST, ImageNet (cv_train.py) and GPT2 on PersonaChat (gpt2_train.py).

There are a variety of command-line args which are best examined by looking at utils.py

The server is contained in fed_aggregator.py and the worker is contained in fed_worker.py

Other relevant branches: attacks contains an implementation of a malicious model poisoning adversary.

To use sketching, you need to install https://github.com/nikitaivkin/csh