| LSFL: A lightweight and secure federated learning scheme for edge computing Z Zhang, L Wu, C Ma, J Li, J Wang, Q Wang, S Yu IEEE Transactions on Information Forensics and Security 18, 365-379, 2022 | 35 | 2022 |
| G-vcfl: grouped verifiable chained privacy-preserving federated learning Z Zhang, L Wu, D He, Q Wang, D Wu, X Shi, C Ma IEEE Transactions on Network and Service Management 19 (4), 4219-4231, 2022 | 13 | 2022 |
| Communication-Efficient and Byzantine-Robust Federated Learning for Mobile Edge Computing Networks Z Zhang, L Wu, D He, J Li, S Cao, X Wu IEEE Network 37 (4), 112-119, 2023 | 3 | 2023 |
| Using Third-Party Auditor to Help Federated Learning: An Efficient Byzantine-robust Federated Learning Z Zhang, L Wu, D He, J Li, N Lu, X Wei IEEE Transactions on Sustainable Computing, 2024 | | 2024 |
| Efficient and Privacy-Preserving Byzantine-Robust Federated Learning S Luan, X Lu, Z Zhang, G Chang, Y Guo GLOBECOM 2023-2023 IEEE Global Communications Conference, 2202-2208, 2023 | | 2023 |
| A Low-Overhead Auditing Protocol for Dynamic Cloud Storage Based on Algebra F Ding, L Wu, Z Zhang, X Wu, C Ma, Q Liu Security and Communication Networks 2023, 2023 | | 2023 |
| Caac: Effective Reinforcement Learning for Sparse Reward Environments K Liu, L Wu, Z Zhang, C Ma, N Lu, X Wei Available at SSRN 4418679, 0 | | |
Libing Wuwuhan universityVerified email at whu.edu.cn
Libing Wuwuhan universityVerified email at whu.edu.cn