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Updated: Feb 10, 2026

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EnDuSecFed:保护隐私的整体方法 联邦学习与双重安全框架 可持续的医疗保健

Bela Shrimali1, Jenil Gajjar2, Swapnoneel Roy3

  • 1Unitedworld Institute of Technology, Karnavati University, Gandhinagar, Gujarat, India.

Frontiers in big data
|February 9, 2026
PubMed
概括

联合学习 (FL) 增强了医疗保健AI隐私,但面临安全风险. 本研究引入了使用加密和入侵检测的双重安全FL框架,大大提高了医疗AI中的数据保护和模型可靠性.

关键词:
联邦学习学习 (Federated Learning) 是一种学习方式.费内特对称加密方式侵入检测系统 侵入检测系统后勤回归的逻辑回归随机的森林 随机的森林支持矢量分类器支持矢量分类器

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