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cs.LG2026
Fed-FBD: Federated Functional Block Diversification for Isolation, Privacy, and Surgical Unlearning
Weijie Chen, Alan B. McMillan
Federated learning (FL) enables collaborative model training without sharing raw patient data, but standard approaches such as FedAvg treat each client as a black box and provide n…
cs.LG2024
SASWISE-UE: Segmentation and Synthesis with Interpretable Scalable Ensembles for Uncertainty Estimation
Weijie Chen, Alan McMillan
This paper introduces an efficient sub-model ensemble framework aimed at enhancing the interpretability of medical deep learning models, thus increasing their clinical applicabilit…