相关实验视频

数字双胞胎应用程序的联合学习:一种保护隐私和低延迟的方法

Jie Li1, Dong Wang2

  • 1School of Management, Zhejiang University of Technology, Hangzhou, China.

PeerJ. Computer science
|September 24, 2025
PubMed
概括

本研究介绍了FL-FedDT,这是一种用于数字双胞胎 (DT) 的隐私保护联合学习 (FL) 方法. 它通过使用改进的Paillier加密和可信聚合来增强安全性并减少延迟,保护敏感数据并改进DT映射.

关键词:
数字生应用程序 数字生应用程序联合学习是联合学习.低延迟的低延迟时间保护隐私 - 保护隐私

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