2025
Federated Hybrid-Supervised Learning for Universal Medical Image Segmentation
ICASSP 2025accepted
Federated Learning (FL) is an advanced technology that tackles the challenge of blocked data arising from privacy concerns, enabling the training of deep learning models without the need for data sharing. However, FL faces difficulties with heterogeneous data and limited annotations in medical image…