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Snowball Effect in Federated Learning: An Approach of Exponentially Expanding Structures for Optimizing the Training Efficiency Journal article
Cheng, Guoliang, Li, Peichun, Tan, Beihai, Yu, Rong, Wu, Yuan, Pan, Miao. Snowball Effect in Federated Learning: An Approach of Exponentially Expanding Structures for Optimizing the Training Efficiency[J]. IEEE Transactions on Cognitive Communications and Networking, 2024.
Authors:  Cheng, Guoliang;  Li, Peichun;  Tan, Beihai;  Yu, Rong;  Wu, Yuan; et al.
Favorite | TC[Scopus]:0  IF:7.4/6.9 | Submit date：2024/11/05
Federated Learning  Distributed Computing  Resource Management  Optimization Methods  
Distributed Deep Reinforcement Learning Based Spectrum and Power Allocation for Heterogeneous Networks Journal article
Yang, Helin, Zhao, Jun, Lam, Kwok Yan, Xiong, Zehui, Wu, Qingqing, Xiao, Liang. Distributed Deep Reinforcement Learning Based Spectrum and Power Allocation for Heterogeneous Networks[J]. IEEE Transactions on Wireless Communications, 2022, 21(9), 6935 - 6948.
Authors:  Yang, Helin;  Zhao, Jun;  Lam, Kwok Yan;  Xiong, Zehui;  Wu, Qingqing; et al.
Favorite | TC[WOS]:30 TC[Scopus]:46  IF:8.9/8.6 | Submit date：2022/05/17
Heterogeneous Wireless Networks  Distributed Resource Management  Qos  Dueling Deep Reinforcement Learning  
Deep Reinforcement Learning Based Resource Allocation for Heterogeneous Networks Conference paper
Helin Yang, Jun Zhao, Kwok-Yan Lam, Sahil Garg, Qingqing Wu, Zehui Xiong. Deep Reinforcement Learning Based Resource Allocation for Heterogeneous Networks[C]:IEEE, 2021, 253-258.
Authors:  Helin Yang;  Jun Zhao;  Kwok-Yan Lam;  Sahil Garg;  Qingqing Wu; et al.
Favorite | TC[WOS]:0 TC[Scopus]:4 | Submit date：2022/05/13
Distributed Resource Management  Dueling Deep Reinforcement Learning  Heterogeneous Wireless Networks