Substra is an open source federated learning (FL) software. It enables the training and validation of machine learning models on distributed datasets. It provides a flexible Python interface and a web application to run federated learning training at scale.
Substra's main usage is in production environments. It has already been deployed and used by hospitals and biotech companies (see the MELLODDY project for instance). Substra can also be used on a single machine to perform FL simulations and debug code.
Have a look at our documentation.
Try out our MNIST example.
If you need support, please either raise an issue on Github or ask on Slack.
Substra warmly welcomes any contribution. Feel free to fork the repo and create a pull request.