基于差分隐私的分布式组变量选择OA北大核心CSTPCD

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.