FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity
How hospitals can share brain scans without revealing patient data
Researchers developed FedDOSE, a new method that lets hospitals collaborate on analyzing brain scans while keeping patient information private. The system accounts for differences between hospital scanners and captures how brain connectivity changes over time, improving accuracy in diagnosing autism and ADHD by outperforming existing approaches.
Brain disorder diagnosis currently requires pooling data from multiple hospitals—but sharing raw scans raises privacy concerns. FedDOSE lets hospitals train AI models together on their local data without sending scans elsewhere, while still achieving better diagnostic accuracy. This could accelerate research into neurodevelopmental disorders without compromising patient privacy.