Dynamic Corrected Split Federated Learning With Homomorphic Encryption for U-Shaped Medical Image Networks

U-shaped networks have become prevalent in various medical image tasks such as segmentation, and restoration. However, most existing U-shaped networks rely on centralized learning which raises privacy concerns. To address these issues, federated learning (FL) and split learning (SL) have been propos...

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