Computer Vision 2025-03-28
Federated Learning for Privacy-Preserving Radiology AI
Research on federated learning approaches that enable multi-site AI model training without sharing patient data, addressing privacy regulations while building robust radiology AI across India's diverse hospital network.
5C Network Research Team · arXiv · DOI: 10.48550/arXiv.2503.22176
Key Findings
- Federated training across multiple Indian hospital sites achieves comparable accuracy to centralized training without data sharing
- AI-driven pathology detection and osteoarthritis grading benefits from multi-site data diversity without compromising patient privacy
- Framework addresses Indian data protection regulations while enabling collaborative AI development
- Multi-site validation demonstrates generalizability across different imaging equipment and patient populations
