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对于联邦医疗成像的敏感性意识差异隐私

Lele Zheng1,2, Yang Cao2, Masatoshi Yoshikawa3

  • 1School of Computer Science and Technology, Xidian University, Xi'an 710126, China.

Sensors (Basel, Switzerland)
|May 14, 2025
PubMed
概括

联合学习 (FL) 通过在不共享患者数据的情况下培训模型来增强医疗保健AI. 一种新的灵敏度感知差异隐私方法提高了模型性能和隐私保护,防止梯度逆转攻击.

关键词:
不同的隐私差异 隐私差异联合学习的联合学习梯度逆转攻击的攻击.智能医疗保健是一个智能医疗保健.

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