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Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering Journal article
Xu,Liang, Chen,Tao, Hou,Zhaoxiang, Zhang,Weishan, Hon,Chitin, Wang,Xiao, Wang,Di, Chen,Long, Zhu,Wenyin, Tian,Yunlong, Ning,Huansheng, Wang,Fei Yue. Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering[J]. IEEE Transactions on Computational Social Systems, 2024, 11(1), 1035-1045.
Authors:  Xu,Liang;  Chen,Tao;  Hou,Zhaoxiang;  Zhang,Weishan;  Hon,Chitin; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:4.5/4.6 | Submit date：2023/08/03
Knowledge Graph  Multitask Semantic Parsing [Msp-bidirectional And Auto-regressive Transformers (Bart)]  Prompt Learning  Question And Answering (q&a)  Reinforcement Federated Learning (Rfl)  
Dynamic User-Scheduling and Power Allocation for SWIPT Aided Federated Learning: A Deep Learning Approach Journal article
Li Yang, Wu Yuan, Song Yuxiao, Qian Liping, Jia Weijia. Dynamic User-Scheduling and Power Allocation for SWIPT Aided Federated Learning: A Deep Learning Approach[J]. IEEE Transactions on Mobile Computing, 2023, 22(12), 6956-6969.
Authors:  Li Yang;  Wu Yuan;  Song Yuxiao;  Qian Liping;  Jia Weijia
Favorite | TC[WOS]:12 TC[Scopus]:13  IF:7.7/6.5 | Submit date：2023/01/30
Federated Learning  Swipt  Dynamic User-scheduling  Stochastic Shortest Path  Deep Reinforcement Learning  Proximal Policy Optimization  
Blockchain-FRL for Vehicular Lane Changing: Toward Traffic, Data, and Training Safety Journal article
Fan Bo, Dong Yiwei, Li Tongfei, Wu Yuan. Blockchain-FRL for Vehicular Lane Changing: Toward Traffic, Data, and Training Safety[J]. IEEE Internet of Things Journal, 2023, 10(24), 22153-22164.
Authors:  Fan Bo;  Dong Yiwei;  Li Tongfei;  Wu Yuan
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.2/9.0 | Submit date：2024/01/02
Blockchain  Data Privacy  Federated Reinforcement Learning (Frl)  Traffic Safety  Training Safety  Vehicular Lane Changing (Lc)  
Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach Journal article
Qing Xue, Yi-Jing Liu, Yao Sun, Wang, Jian, Li Yan, Gang Feng, Shaodan Ma. Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach[J]. IEEE Transactions on Cognitive Communications and Networking, 2022, 9(1), 185-197.
Authors:  Qing Xue;  Yi-Jing Liu;  Yao Sun;  Wang, Jian;  Li Yan; et al.
Favorite | TC[WOS]:34 TC[Scopus]:44  IF:7.4/6.9 | Submit date：2023/01/30
Beam Management  Millimeter Wave (mmWave) Communication  Ultra-dense Network  Federated Reinforcement Learning  
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]:82  IF:6.1/6.5 | Submit date：2021/09/10
Federated Learning  Parked Vehicle Assisted Edge Computing  Deep Reinforcement Learning And Stackelberg Game