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Updated: May 23, 2025

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增强的隐私限制为Shuffle模型与个性化的隐私

Yixuan Liu1, Yuhan Liu1, Li Xiong2

  • 1Renmin University of China, Beijing, China.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management
|May 22, 2025
PubMed
概括

这项研究通过改进个性化隐私设置的混合模型来增强差异隐私 (DP). 我们精确的分析提供了更严格的隐私限制,超过了匿名随机数据的现有方法.

关键词:
不同的隐私差异性隐私.个性化的隐私 个性化的隐私混动模型 混动模型

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