FedRay is a framework for Research in Federated Learning based on Ray. FedRay allows to easily implement your FL algorithms or use off-the-shelf algorithms, and distribute them seamlessly on Ray Clusters.
FedRay is a research project, and it is still under development.
FedRay can be installed by cloning the repository and running the setup script.
$ git clone https://github.com/vdecaro/fedray
$ cd fedray
$ pip install -e .
The documentation is hosted on ReadTheDocs and can be found here.
FedRay is released under the MIT license.