Sensitivity-Aware Differential Privacy for Federated Medical Imaging

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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Bibliographic Details
Main Authors: Lele Zheng, Yang Cao, Masatoshi Yoshikawa, Yulong Shen, Essam A. Rashed, Kenjiro Taura, Shouhei Hanaoka, Tao Zhang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Sensors
Subjects:
smart healthcare
differential privacy
gradient inversion attacks
federated learning
Online Access:https://www.mdpi.com/1424-8220/25/9/2847
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