Benteng Zhang

According to our database, Benteng Zhang authored at least 17 papers between 2023 and 2026.

Collaborative distances:

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

2026

Efficient LLM Deployment in Consumer Electronics Applications via Resource-Aware and Salience-Guided Quantization.

Tianfu Pang, Yingchi Mao, Zhenxiang Pan, Rongzhi Qi, Benteng Zhang, Xiaoming He, Jie Wu

IEEE Trans. Consumer Electron., February, 2026

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

Global Model Accuracy and Forgetting Rate.

Benteng Zhang

Dataset, April, 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

Learnable Cloud-Guided LLM Quantization for Resource-Constrained Edge Devices.

Qinxiao Deng, Tianfu Pang, Benteng Zhang, Bingbing Nie, Xiaoming He, Yingchi Mao, Jie Wu

Proceedings of the Network and Parallel Computing, 2025

Efficient Zero-Cost Neural Architecture Search for Personalized AI Systems in Cloud-Edge Networks.

Kai Huang, Yingchi Mao, Benteng Zhang, Yihan Chen, Yuchu Chen, Jie Wu

Proceedings of the 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 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

LLM-Driven Cloud-Edge Collaboration for Resilient Multi-UAV Task Planning.

Xuan Ling, Yingchi Mao, Yu Tang, Benteng Zhang, Yi Rong, Xiaoming He

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

Energy-Efficient Federated Learning via Dynamic Distillation and Cloud-Network Collaboration.

Yihan Chen, Haowen Xu, Yi Dong, Benteng Zhang, Xiaoming He, Miao Du, Yingchi Mao

Proceedings of the 33rd IEEE International Conference on Network Protocols, 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