Decouple, Purify and Unite: Semantic-Structural Prototype Learning for Federated Medical Segmentation

Xingyue Zhao, Wenke Huang, Linghao Zhuang +11

Federated learning enables medical institutions to train a global model without sharing data, yet feature heterogeneity from diverse scanners or protocols remains challenging. Exis…