Sensitivity-Aware Differential Privacy for Federated Medical Imaging

Federated learning (FL) enables collaborative model training across multiple institutions without the sharing of raw patient data, making it particularly suitable for smart healthcare applications. However, recent studies revealed that merely sharing gradients provides a false sense of security, as...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Lele Zheng, Yang Cao, Masatoshi Yoshikawa, Yulong Shen, Essam A. Rashed, Kenjiro Taura, Shouhei Hanaoka, Tao Zhang
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2025-04-01
Σειρά:	Sensors
Θέματα:	smart healthcare differential privacy gradient inversion attacks federated learning
Διαθέσιμο Online:	https://www.mdpi.com/1424-8220/25/9/2847
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