Distributed Differentially Private Matrix Factorization Based on ADMM. - Erkang Xue; Ruixin Guo; Feng Zhang 012; Lizhe Wang 001; Xiaohan Zhang; Guangzhi Qu (HPCC/SmartCity/DSS, 2019)

Optimizing the confidence bound of count-min sketches to estimate the streaming big data query results more precisely. - Ruixin Guo; Erkang Xue; Feng Zhang 012; Gansen Zhao; Guangzhi Qu (Computing, 2020)

DS-ADMM++: A Novel Distributed Quantized ADMM to Speed up Differentially Private Matrix Factorization. - Feng Zhang 012; Erkang Xue; Ruixin Guo; Guangzhi Qu; Gansen Zhao; Albert Y. Zomaya (IEEE Trans. Parallel Distributed Syst., 2022)

Efficient Differentially Private Tensor Factorization in the Parallel and Distributed Computing Paradigm. - Feng Zhang 012; Hao Wang; Ruixin Guo; Erkang Xue; Guangzhi Qu (ISPA/BDCloud/SocialCom/SustainCom, 2023)