What is federated learning and why is it important for healthcare AI?

Federated learning enables AI model training across multiple institutions without sharing raw patient data — only model updates are exchanged between sites. This satisfies data protection requirements (like GDPR) while enabling multi-centre collaboration at scale. Examples include the EU HealthChain project and NVIDIA FLARE platform. It allows population-scale AI development without creating centralised data lakes.