Xinyu Zha

FEDKA: Federated Knowledge Augmentation for Multi-Center Medical Image Segmentation on non-IID Data

Federated learning (FL) allows decentralized medical institutions to collaboratively learn a shared global model without breaching data privacy. However, in the context of medical image segmentation, data distributions across centers may vary a lot due to the diverse imaging protocols, vendors and p…