Distributed Patient Risk Prediction Machine Learning Architecture

Architect a scalable machine learning system for predicting patient health risks using federated learning across multiple healthcare providers. Develop a secure communication protocol that allows model training without exposing raw patient data, implementing differential privacy techniques. Design the system to handle heterogeneous data sources, with support for transfer learning and model versioning.