ADP-FL adapts differential privacy mechanisms in federated learning to achieve higher segmentation accuracy, better boundaries, faster convergence, and stability across skin, kidney, and brain imaging tasks while preserving privacy.
Federated learning for medical image analysis: A survey
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ADP-FL-MedSeg: Adaptive Differential Privacy for Federated Medical Segmentation Across Diverse Modalities
ADP-FL adapts differential privacy mechanisms in federated learning to achieve higher segmentation accuracy, better boundaries, faster convergence, and stability across skin, kidney, and brain imaging tasks while preserving privacy.