FedBCFA: a boundary-constrained feature alignment federated learning framework for multi-center breast MRI classification
Experimental results demonstrate that the proposed FedBCFA achieves favorable overall performance in multi-center breast MRI classification, effectively mitigates class confusion under non-IID conditions, and improves the discriminative stability for benign and malignant lesions.