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Joint Optimization of Model Partition and Resource Allocation for Split Federated Learning over Vehicular Edge Networks Journal article
Wu Maoqiang, Yang Ruibin, Huang Xumin, Wu Yuan, Kang Jiawen, Xie Shengli. Joint Optimization of Model Partition and Resource Allocation for Split Federated Learning over Vehicular Edge Networks[J]. IEEE Transactions on Vehicular Technology, 2024, 73(10), 15860-15865.
Authors:  Wu Maoqiang;  Yang Ruibin;  Huang Xumin;  Wu Yuan;  Kang Jiawen; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:6.1/6.5 | Submit date：2024/06/05
Split Federated Learning  Model Partition  Resource Allocation  Vehicular Edge Networks  
Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds Journal article
Wei, Xinliang, Ye, Kejiang, Shi, Xinghua, Xu, Cheng Zhong, Wang, Yu. Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds[J]. IEEE Transactions on Parallel and Distributed Systems, 2024, 35(8), 1456-1468.
Authors:  Wei, Xinliang;  Ye, Kejiang;  Shi, Xinghua;  Xu, Cheng Zhong;  Wang, Yu
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:5.6/4.5 | Submit date：2024/07/04
Edge Computing  Federated Learning  Learning Topology  Participant Selection  
Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning Journal article
You, Lizhao, Zhao, Xinbo, Cao, Rui, Shao, Yulin, Fu, Liqun. Broadband Digital Over-the-Air Computation for Wireless Federated Edge Learning[J]. IEEE Transactions on Mobile Computing, 2024, 23(5), 5212 - 5228.
Authors:  You, Lizhao;  Zhao, Xinbo;  Cao, Rui;  Shao, Yulin;  Fu, Liqun
Favorite | TC[WOS]:2 TC[Scopus]:5  IF:7.7/6.5 | Submit date：2024/02/23
Atmospheric Modeling  Channel Codes  Data Models  Decoding  Federated Edge Learning  Multiple Access  Ofdm  Over-the-air Computation  Real-time Implementation  Real-time Systems  Servers  Symbols  
Denoising Noisy Neural Networks: A Bayesian Approach with Compensation Journal article
Shao,Yulin, Liew,Soung Chang, Gunduz,Deniz. Denoising Noisy Neural Networks: A Bayesian Approach with Compensation[J]. IEEE Transactions on Signal Processing, 2023, 71, 2460 - 2474.
Authors:  Shao,Yulin;  Liew,Soung Chang;  Gunduz,Deniz
Favorite | TC[WOS]:2 TC[Scopus]:4  IF:4.6/5.2 | Submit date：2023/08/03
Denoiser  Estimation  Federated Edge Learning  Maximum Likelihood Estimation  Neural Networks  Noise Measurement  Noise Reduction  Noisy Neural Network  Training  Wireless Communication  Wireless Transmission Of Neural Networks  
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices Conference paper
Li Peichun, Cheng Guoliang, Huang Xumin, Kang Jiawen, Yu Rong, Wu Yuan, Pan Miao. AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices[C]:Institute of Electrical and Electronics Engineers Inc., 2023.
Authors:  Li Peichun;  Cheng Guoliang;  Huang Xumin;  Kang Jiawen;  Yu Rong; et al.
Favorite | TC[Scopus]:6 | Submit date：2023/08/29
Federated Learning  Edge Intelligence  Mobile Computing  Resource Management  
FedRelay: Federated Relay Learning for 6G Mobile Edge Intelligence Journal article
Li Peichun, Zhong Yupei, Zhang Chaorui, Wu Yuan, Yu Rong. FedRelay: Federated Relay Learning for 6G Mobile Edge Intelligence[J]. IEEE Transactions on Vehicular Technology, 2023, 72(4), 5125-5138.
Authors:  Li Peichun;  Zhong Yupei;  Zhang Chaorui;  Wu Yuan;  Yu Rong
Favorite | TC[WOS]:7 TC[Scopus]:8  IF:6.1/6.5 | Submit date：2023/01/30
Federated Learning  Mobile Edge Computing  Resource Management  Cooperative Networks  
Incentivizing Semisupervised Vehicular Federated Learning: A Multidimensional Contract Approach With Bounded Rationality Journal article
Ye Dongdong, Huang Xumin, Wu Yuan, Yu Rong. Incentivizing Semisupervised Vehicular Federated Learning: A Multidimensional Contract Approach With Bounded Rationality[J]. IEEE Internet of Things Journal, 2022, 9(19), 18573-18588.
Authors:  Ye Dongdong;  Huang Xumin;  Wu Yuan;  Yu Rong
Favorite | TC[WOS]:10 TC[Scopus]:16  IF:8.2/9.0 | Submit date：2022/05/17
Collaborative Work  Contracts  Convergence  Costs  Data Models  Multi-dimensional Contract Theory  Prospect Theory.  Semi-supervised Federated Learning  Servers  Training  Vehicular Edge Computing  
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing Journal article
Huang Xumin, Li Peichun, Yu Rong, Wu Yuan, Xie Kan, Xie Shengli. FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing[J]. IEEE Transactions on Vehicular Technology, 2021, 70(9), 9355 - 9368.
Authors:  Huang Xumin;  Li Peichun;  Yu Rong;  Wu Yuan;  Xie Kan; et al.
Favorite | TC[WOS]:65 TC[Scopus]:81  IF:6.1/6.5 | Submit date：2021/09/10
Federated Learning  Parked Vehicle Assisted Edge Computing  Deep Reinforcement Learning And Stackelberg Game