Secure Aggregation

How Federated Learning Trains Health AI Without Moving Patient Data

Federated learning enables health AI models to be trained across decentralized hospital data without moving sensitive patient records. This pattern relies on clients exchanging model updates, protected by privacy-enhancing technologies like differential privacy, secure aggregation, and homomorphic encryption.