2026
pFedSAM: Personalized Federated Learning of Segment Anything Model for Medical Image Segmentation
ICASSP 2026poster
Medical image segmentation is crucial for computer-aided diagnosis, yet privacy constraints hinder data sharing across institutions. Federated learning addresses this limitation, but existing approaches often rely on lightweight architectures that struggle with complex, heterogeneous data. Recently,…