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Majority Vote for Distributed Differentially Private Sign Selection. (arXiv:2209.04419v1 [cs.CR])
Sept. 12, 2022, 1:20 a.m. | Weidong Liu, Jiyuan Tu, Xiaojun Mao, Xi Chen
cs.CR updates on arXiv.org arxiv.org
Privacy-preserving data analysis has become prevailing in recent years. In
this paper, we propose a distributed group differentially private majority vote
mechanism for the sign selection problem in a distributed setup. To achieve
this, we apply the iterative peeling to the stability function and use the
exponential mechanism to recover the signs. As applications, we study the
private sign selection for mean estimation and linear regression problems in
distributed systems. Our method recovers the support and signs with the optimal …
More from arxiv.org / cs.CR updates on arXiv.org
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