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

• المؤلفون الرئيسيون: Yang, Mengmeng, Tjuawinata, Ivan, Lam, Kwok-Yan
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Differential Privacy; K-means Clustering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/168038
• المؤسسة: Nanyang Technological University

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...