Benteng Zhang

According to our database, Benteng Zhang authored at least 11 papers between 2023 and 2025.

Collaborative distances:

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

2025

Adaptive Knowledge Transfer for Federated Learning With Large Models on Edge IoT Devices.

Benteng Zhang, Yingchi Mao, Haotian Zheng, Xiang Li, Jianxin Huang, Xiaoming He, Jie Wu

IEEE Internet Things J., October, 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

IEEE Internet Things J., June, 2025

FedAWAC.

Benteng Zhang

Dataset, February, 2025

Balancing Privacy and Accuracy Using Significant Gradient Protection in Federated Learning.

Benteng Zhang, Yingchi Mao, Xiaoming He, Huawei Huang, Jie Wu

IEEE Trans. Computers, January, 2025

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

IEEE Trans. Netw. Sci. Eng., 2025

Temperature-Aware Adaptive Federated Distillation for Energy-Constrained AIoT with Non-IID Data.

Yingchi Mao, Jiakai Zhang, Litao Qu, Zicheng Wang, Benteng Zhang, Xiaoming He

Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

HFHEMS: Energy-Efficient Hierarchical Federated Learning via Model Distillation.

Yihan Chen, Yingchi Mao, Benteng Zhang, Qinxiao Deng, Xiang Li, Xiaoming He

Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Adaptive Federated Learning for Large Models with Scarce and Non-IID Data in Cloud-Edge Networks.

Benteng Zhang, Yingchi Mao, Peng Zhang, Haotian Zheng, Xiaoming He, Jiawen Kang, Jie Wu

Proceedings of the IEEE INFOCOM 2025, 2025

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

Int. J. Sens. Networks, 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

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Optimizing Privacy-Accuracy Trade-off in DP-FL via Significant Gradient Perturbation.

Benteng Zhang, Yingchi Mao, Zijian Tu, Xiaoming He, Ping Ping, Jie Wu

Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023