ConFederate - Federated Learning , for Healthcare

• A distributed application that uses confederate learning to train machine learning models without any of the data actually leaving the host machine.
• Zero knowledge transfer betweeen participants, guaranteeing secure handling of sensitive patient information.
• Built as part of a Hackathon in under 24 hours
• Currently uses just the MNIST dataset, but has been tested on the Pneumonia Dataset with reasonable success.
• Deployed using Docker and verified with multiple machines on a LAN.