Author

Arash Salehpour

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#federated learning Sep 2026

FDCTGAN: Client-local CTGAN-augmented federated learning for imbalanced breast cancer classification

Abstract Objective Federated learning enables collaborative medical model development without centralizing patient records; however, client-level class imbalance may reduce sensitivity to malignant cases. This study evaluated FDCTGAN, a client-local CTGAN-augmented federated learning framework for imbalanced breast can...

Arash Salehpour, Mohammad Ali Balafar, Alireza Souri · Technology and Health Care · 0 citations

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