K-means clustering with local dᵪ-privacy for privacy-preserving data analysis

K-means clustering with local dᵪ-privacy for privacy-preserving data analysis

Privacy-preserving data analysis is an emerging area that addresses the dilemma of performing data analysis on user data while protecting users' privacy. In this paper, we consider the problem of constructing privacy-preserving K -means clustering protocol for data analysis that provides local...

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書目詳細資料
Main Authors:	Yang, Mengmeng, Tjuawinata, Ivan, Lam, Kwok-Yan
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering Differential Privacy K-means Clustering
在線閱讀:	https://hdl.handle.net/10356/168038
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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