Federated learning for medical imaging

Medical imaging data is distributed across hospitals and cannot be centralized due to privacy regulations. We need a federated learning framework that enables collaborative model training. Key requirements: - HIPAA and GDPR compliance - Communication-efficient protocols - Robust to non-IID data distributions - Support for differential privacy - Works with standard imaging formats (DICOM)