Hao Zhou

According to our database, Hao Zhou authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Robust Federated Learning for Privacy Preservation and Efficiency in Edge Computing.

Hao Zhou, Hua Dai, Geng Yang, Yang Xiang

IEEE Trans. Serv. Comput., 2025

Federated adaptive pruning with differential privacy.

Zhousheng Wang, Jiahe Shen, Hua Dai, Jian Xu, Geng Yang, Hao Zhou

Future Gener. Comput. Syst., 2025

ACSFL: An adaptive client selection-based Federated Learning with personalized differential privacy for heterogeneous AIoT environments.

Zhousheng Wang, Junjie Chen, Hua Dai, Jian Xu, Geng Yang, Hao Zhou

Comput. Commun., 2025

2024

VPPFL: A verifiable privacy-preserving federated learning scheme against poisoning attacks.

Yuxian Huang, Geng Yang, Hao Zhou, Hua Dai, Dong Yuan, Shui Yu

Comput. Secur., January, 2024

2023

A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data.

Hao Zhou, Geng Yang, Yang Xiang, Yunlu Bai, Weiya Wang

IEEE Trans. Big Data, February, 2023

Privacy-Preserving and Verifiable Federated Learning Framework for Edge Computing.

Hao Zhou, Geng Yang, Yuxian Huang, Hua Dai, Yang Xiang

IEEE Trans. Inf. Forensics Secur., 2023

2022

PFLF: Privacy-Preserving Federated Learning Framework for Edge Computing.

Hao Zhou, Geng Yang, Hua Dai, Guoxiu Liu

IEEE Trans. Inf. Forensics Secur., 2022

2021

Travel Trajectory Frequent Pattern Mining Based on Differential Privacy Protection.

Weiya Wang, Geng Yang, Lin Bao, Ke Ma, Hao Zhou, Yunlu Bai

Wirel. Commun. Mob. Comput., 2021

2019

Effective Matrix Factorization for Recommendation with Local Differential Privacy.

Hao Zhou, Geng Yang, Yahong Xu, Weiya Wang

Proceedings of the Science of Cyber Security - Second International Conference, 2019