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Jingheng Zheng
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2020 – today
- 2024
- [j4]Haofeng Sun, Hui Tian, Jingheng Zheng, Wanli Ni:
Joint Optimization of Convergence and Latency for Hierarchical Federated Learning Over Wireless Networks. IEEE Wirel. Commun. Lett. 13(3): 691-695 (2024) - [c9]Haofeng Sun, Hui Tian, Wanli Ni, Jingheng Zheng:
On the Convergence of Hierarchical Federated Learning with Gradient Quantization and Imperfect Transmission. ICASSP 2024: 7245-7249 - [c8]Haofeng Sun, Hui Tian, Wanli Ni, Jingheng Zheng:
Federated Learning-Based Cooperative Model Training for Task-Oriented Semantic Communication. INFOCOM (Workshops) 2024: 1-6 - 2023
- [j3]Wanli Ni, Jingheng Zheng, Hui Tian:
Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks. IEEE Internet Things J. 10(13): 11942-11943 (2023) - [j2]Jingheng Zheng, Wanli Ni, Hui Tian, Deniz Gündüz, Tony Q. S. Quek, Zhu Han:
Semi-Federated Learning: Convergence Analysis and Optimization of a Hybrid Learning Framework. IEEE Trans. Wirel. Commun. 22(12): 9438-9456 (2023) - [c7]Jingheng Zheng, Wanli Ni, Hui Tian, Wenchao Jiang, Tony Q. S. Quek:
Convergence Analysis and Latency Minimization for Retransmission-Based Semi-Federated Learning. GLOBECOM 2023: 2057-2062 - [c6]Wanli Ni, Jingheng Zheng, Yonina C. Eldar, Changsheng You, Kaibin Huang:
Semi-Federated Learning for Edge Intelligence with Imperfect SIC. ICASSP 2023: 1-5 - [c5]Yuxin Wang, Jingheng Zheng, Wanli Ni, Hui Tian:
Convergence Analysis and Optimization of Over-the-Air Federated Meta-Learning. ICC Workshops 2023: 379-384 - [i4]Wanli Ni, Jingheng Zheng, Hui Tian:
Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks. CoRR abs/2303.05048 (2023) - [i3]Jingheng Zheng, Wanli Ni, Hui Tian, Deniz Gündüz, Tony Q. S. Quek, Zhu Han:
Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework. CoRR abs/2310.02559 (2023) - 2022
- [j1]Jingheng Zheng, Hui Tian, Wanli Ni, Wei Ni, Ping Zhang:
Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-Aided Over-the-Air Federated Learning. IEEE Trans. Wirel. Commun. 21(12): 10964-10980 (2022) - [c4]Jingheng Zheng, Wanli Ni, Hui Tian, Deniz Gündüz, Tony Q. S. Quek:
Semi-Federated Learning: An Integrated Framework for Pervasive Intelligence in 6G Networks. INFOCOM Workshops 2022: 1-6 - [i2]Jingheng Zheng, Hui Tian, Wanli Ni, Wei Ni, Ping Zhang:
Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning. CoRR abs/2207.08057 (2022) - 2021
- [c3]Jingheng Zheng, Wanli Ni, Hui Tian, Yingying Wang:
QoS-Constrained Federated Learning Empowered by Intelligent Reflecting Surface. PIMRC 2021: 947-952 - [i1]Jingheng Zheng, Wanli Ni, Hui Tian:
QoS-Constrained Federated Learning Empowered by Intelligent Reflecting Surface. CoRR abs/2103.11551 (2021) - 2020
- [c2]Nanxin Wang, Yifei Xin, Jingheng Zheng, Jingjing Wang, Xiao Liu, Xiangwang Hou, Yuanwei Liu:
Priority-Oriented Trajectory Planning for UAV-Aided Time-Sensitive IoT Networks. ICC Workshops 2020: 1-7
2010 – 2019
- 2019
- [c1]Nanxin Wang, Jingheng Zheng, Jihong Tong, Kai Zhang:
Joint Location Selection and Supply Allocation for UAV Aided Disaster Response System. ICIRA (4) 2019: 14-26
Coauthor Index
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