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2020 – today
- 2025
[j5]Benteng Zhang
, Yingchi Mao, Haowen Xu, Yihan Chen, Tasiu Muazu, Xiaoming He, Jie Wu:
Overcoming Forgetting Using Adaptive Federated Learning for IIoT Devices With Non-IID Data. IEEE Internet Things J. 12(12): 21025-21037 (2025)- [j4]Benteng Zhang, Yingchi Mao, Haotian Zheng, Xiang Li, Jianxin Huang, Xiaoming He, Jie Wu:
Adaptive Knowledge Transfer for Federated Learning With Large Models on Edge IoT Devices. IEEE Internet Things J. 12(20): 41400-41411 (2025) - [j3]Benteng Zhang, Yingchi Mao, Xiaoming He, Huawei Huang, Jie Wu:
Balancing Privacy and Accuracy Using Significant Gradient Protection in Federated Learning. IEEE Trans. Computers 74(1): 278-292 (2025) - [j2]Benteng Zhang, Yingchi Mao, Xiaoming He, Ping Ping, Huawei Huang, Jie Wu:
Exploring the Privacy-Accuracy Trade-Off Using Adaptive Gradient Clipping in Federated Learning. IEEE Trans. Netw. Sci. Eng. 12(3): 2254-2265 (2025) - [c8]Yihan Chen, Haowen Xu, Yi Dong, Benteng Zhang, Xiaoming He, Miao Du, Yingchi Mao:
Energy-Efficient Federated Learning via Dynamic Distillation and Cloud-Network Collaboration. ICNP 2025: 1-6 - [c7]Benteng Zhang, Yingchi Mao, Peng Zhang, Haotian Zheng, Xiaoming He, Jiawen Kang, Jie Wu:
Adaptive Federated Learning for Large Models with Scarce and Non-IID Data in Cloud-Edge Networks. INFOCOM WKSHPS 2025: 1-6 - [c6]Yihan Chen, Yingchi Mao, Benteng Zhang, Qinxiao Deng, Xiang Li, Xiaoming He:
HFHEMS: Energy-Efficient Hierarchical Federated Learning via Model Distillation. IWQoS 2025: 1-2 - [c5]Kai Huang, Yingchi Mao, Benteng Zhang, Yihan Chen, Yuchu Chen, Jie Wu:
Efficient Zero-Cost Neural Architecture Search for Personalized AI Systems in Cloud-Edge Networks. MASS 2025: 398-406 - [c4]Qinxiao Deng, Tianfu Pang, Benteng Zhang, Bingbing Nie, Xiaoming He, Yingchi Mao, Jie Wu:
Learnable Cloud-Guided LLM Quantization for Resource-Constrained Edge Devices. NPC (1) 2025: 423-435 - [c3]Yingchi Mao, Jiakai Zhang, Litao Qu, Zicheng Wang, Benteng Zhang, Xiaoming He:
Temperature-Aware Adaptive Federated Distillation for Energy-Constrained AIoT with Non-IID Data. VTC2025-Spring 2025: 1-5 - [d2]Benteng Zhang:
FedAWAC. IEEE DataPort, 2025
- [d1]Benteng Zhang:
Global Model Accuracy and Forgetting Rate. IEEE DataPort, 2025 - 2023
- [j1]Ling Chen, Yingchi Mao, Hongliang Zhou, Benteng Zhang, Zicheng Wang, Jie Wu:
MTS-GAT: multivariate time series anomaly detection based on graph attention networks. Int. J. Sens. Networks 43(1): 38-49 (2023) - [c2]Benteng Zhang, Yingchi Mao, Zijian Tu, Xiaoming He, Ping Ping, Jie Wu:
Optimizing Privacy-Accuracy Trade-off in DP-FL via Significant Gradient Perturbation. MSN 2023: 423-430 - [c1]Xiaoming He, Yingchi Mao, Yinqiu Liu, Benteng Zhang, Yunzhe Jiang, Yan Hong:
Green Resource Allocation with DDPG for Knowledge Learning in Digital Twin-enabled Edges. VTC Fall 2023: 1-6
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