陕西师范大学学报（自然科学版）2024，Vol.52Issue(2)：102-110,9.DOI:10.15983/j.cnki.jsnu.2024004
基于差分隐私的分布式组变量选择
Distributed group variable selection based on differential privacy
摘要
Abstract
The privacy protection of data with group structure is focused,disturbs the original data through randomized response mechanism,and carries out the research on the distributed group variable selection that satisfies differential privacy.First,based on the alternating direction method of multipliers,a distributed Logistic group variable selection algorithm is proposed.Furthermore,in order to prevent possible privacy leakage in the process of computer information interaction,a distributed Logistic randomized response group variable selection algorithm is proposed,and it is proved that the algorithm satisfies differential privacy.Experimental results show that the algorithm can effectively deal with the group structure classification data and protect its privacy.关键词
组变量选择/差分隐私/随机响应机制/Logistic回归/分布式算法Key words
variable selection/differential privacy/randomized response/Logistic regression/distributed algorithm分类
信息技术与安全科学引用本文复制引用
李子涵,张海..基于差分隐私的分布式组变量选择[J].陕西师范大学学报（自然科学版）,2024,52(2):102-110,9.基金项目
NSFC-广东省大数据重大项目(U1811461) （U1811461）
