Optimizing Privacy-Accuracy Trade-off in DP-FL via Significant Gradient Perturbation. - Benteng Zhang; Yingchi Mao; Zijian Tu; Xiaoming He; Ping Ping; Jie Wu 001 (MSN, 2023)

Green Resource Allocation with DDPG for Knowledge Learning in Digital Twin-enabled Edges. - Xiaoming He; Yingchi Mao; Yinqiu Liu; Benteng Zhang; Yunzhe Jiang; Yan Hong (VTC Fall, 2023)

MTS-GAT: multivariate time series anomaly detection based on graph attention networks. - Ling Chen; Yingchi Mao; Hongliang Zhou; Benteng Zhang; Zicheng Wang; Jie Wu 001 (Int. J. Sens. Networks, 2023)

Exploring the Privacy-Accuracy Trade-Off Using Adaptive Gradient Clipping in Federated Learning. - Benteng Zhang; Yingchi Mao; Xiaoming He; Ping Ping; Huawei Huang; Jie Wu 001 (IEEE Trans. Netw. Sci. Eng., 2025)

Balancing Privacy and Accuracy Using Significant Gradient Protection in Federated Learning. - Benteng Zhang; Yingchi Mao; Xiaoming He; Huawei Huang; Jie Wu 001 (IEEE Trans. Computers, 2025)

FedAWAC. - Benteng Zhang (IEEE DataPort, 2025)

Overcoming Forgetting Using Adaptive Federated Learning for IIoT Devices With Non-IID Data. - Benteng Zhang; Yingchi Mao; Haowen Xu; Yihan Chen; Tasiu Muazu; Xiaoming He; Jie Wu 001 (IEEE Internet Things J., 2025)