A Secure and Scalable Federated Deep Learning Framework for Distributed Medical Imaging
The digitization of healthcare has yielded unprecedented volumes of heterogeneous medical imaging data distributed across geographically dispersed hospitals, diagnostic centers, and clinical research institutions. Conventional centralized deep learning approaches require raw patient data to be aggregated on a single se...