Build Privacy-First Medical AI with Federated Learning and PySyft

A tutorial shows how to train a skin cancer classifier using federated learning, differential privacy, and secure multi-party computation with PySyft and PyTorch. The approach keeps patient data on local hospital servers, sending only encrypted model updates to a central aggregator. This prevents raw medical images from being exposed, addressing GDPR and HIPAA compliance.