Effective Matrix Factorization for Recommendation with Local Differential Privacy. - Hao Zhou 034; Geng Yang; Yahong Xu; Weiya Wang (SciSec, 2019)

PFLF: Privacy-Preserving Federated Learning Framework for Edge Computing. - Hao Zhou 034; Geng Yang; Hua Dai 003; Guoxiu Liu (IEEE Trans. Inf. Forensics Secur., 2022)

Privacy-Preserving and Verifiable Federated Learning Framework for Edge Computing. - Hao Zhou 034; Geng Yang; Yuxian Huang; Hua Dai 003; Yang Xiang 001 (IEEE Trans. Inf. Forensics Secur., 2023)

A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data. - Hao Zhou 034; Geng Yang; Yang Xiang 001; Yunlu Bai; Weiya Wang (IEEE Trans. Big Data, 2023)

Federated adaptive pruning with differential privacy. - Zhousheng Wang; Jiahe Shen; Hua Dai 003; Jian Xu 026; Geng Yang; Hao Zhou 034 (Future Gener. Comput. Syst., 2025)

Robust Federated Learning for Privacy Preservation and Efficiency in Edge Computing. - Hao Zhou 034; Hua Dai 003; Geng Yang; Yang Xiang 001 (IEEE Trans. Serv. Comput., 2025)