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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  
Coordinated Multi-Point Aided Integrated Sensing, Communication and Computation System: An Energy Efficient Design Conference paper
Dong Huanyu, Li Peichun, Dai Minghui, Wu Yuan, Qian Liping, Hei Xiaojun. Coordinated Multi-Point Aided Integrated Sensing, Communication and Computation System: An Energy Efficient Design[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 54-59.
Authors:  Dong Huanyu;  Li Peichun;  Dai Minghui;  Wu Yuan;  Qian Liping; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/07/20
Coordinated Multi-point Transmission  Integrated Sensing And Communication  Mobile Edge Computing  Energy Consumption  Multi-access Edge Computing  Array Signal Processing  Radar  Performance Gain  Energy Efficiency  Coordinated Multi-point Transmission  
Efficient Federated Learning With Quality-Aware Generated Models: An Incentive Mechanism Journal article
Zhang, Hanwen, Li, Peichun, Dai, Minghui, Wu, Yuan, Qian, Liping. Efficient Federated Learning With Quality-Aware Generated Models: An Incentive Mechanism[J]. IEEE Internet of Things Journal, 2024.
Authors:  Zhang, Hanwen;  Li, Peichun;  Dai, Minghui;  Wu, Yuan;  Qian, Liping
Favorite | TC[Scopus]:0  IF:8.2/9.0 | Submit date：2024/10/10
Federated Learning  Incentive Mechanism  Generative Ai  Data Compensation  
Federated Learning-Empowered AI-Generated Content in Wireless Networks Journal article
Huang Xumin, Li Peichun, Du Hongyang, Kang Jiawen, Niyato Dusit, Kim Dong In, Wu Yuan. Federated Learning-Empowered AI-Generated Content in Wireless Networks[J]. IEEE Network, 2024, 38(5), 304-313.
Authors:  Huang Xumin;  Li Peichun;  Du Hongyang;  Kang Jiawen;  Niyato Dusit; et al.
Favorite | TC[WOS]:9 TC[Scopus]:17  IF:6.8/8.5 | Submit date：2024/05/16
Adaptation Models  Aigc  Computational Modeling  Data Models  Deep Learning  Federated Learning  Generative Adversarial Networks  Stable Diffusion  Task Analysis  Training  Transformers  Wireless Networks  
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices Journal article
Li Peichun, Zhang Hanwen, Wu Yuan, Qian Liping, Yu Rong, Niyato Dusit, Shen Xuemin. Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices[J]. IEEE Transactions on Mobile Computing, 2024.
Authors:  Li Peichun;  Zhang Hanwen;  Wu Yuan;  Qian Liping;  Yu Rong; et al.
Favorite | TC[WOS]:3 TC[Scopus]:9  IF:7.7/6.5 | Submit date：2024/07/18
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices Journal article
Li Peichun, Zhang Hanwen, Wu Yuan, Qian Liping, Yu Rong, Niyato Dusit, Shen Xuemin. Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices[J]. IEEE Transactions on Mobile Computing, 2024, 23(10), 10001 - 10015.
Authors:  Li Peichun;  Zhang Hanwen;  Wu Yuan;  Qian Liping;  Yu Rong; et al.
Favorite | TC[WOS]:3 TC[Scopus]:9  IF:7.7/6.5 | Submit date：2024/05/16
Convergence  Data Compensation  Data Models  Energy Consumption  Federated Learning  Generative Ai  Generative Ai  Optimization  Performance Evaluation  Resource Management  Training  
Camera-Selecting Device-Edge Co-Inference for Real-Time Multi-Camera 3D Pose Estimation Conference paper
Du Zhuohang, Huang Xumin, Wu Yuan, Tan Pengcheng, Li Peichun, Qian Liping, Zhou Haibo. Camera-Selecting Device-Edge Co-Inference for Real-Time Multi-Camera 3D Pose Estimation[C], 2023.
Authors:  Du Zhuohang;  Huang Xumin;  Wu Yuan;  Tan Pengcheng;  Li Peichun; et al.
Favorite |  | Submit date：2024/07/20
Quantum-Empowered Federated Learning in Space-Air-Ground Integrated Networks Journal article
Wang Tianshun, Li Peichun, Wu Yuan, Qian Liping, Su Zhou, Lu Rongxing. Quantum-Empowered Federated Learning in Space-Air-Ground Integrated Networks[J]. IEEE Network, 2023, 38(1), 96-103.
Authors:  Wang Tianshun;  Li Peichun;  Wu Yuan;  Qian Liping;  Su Zhou; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:6.8/8.5 | Submit date：2024/02/22
Adaptation Models  Data Models  Quantum Communication  Relays  Space-air-ground Integrated Networks  Teleportation  Training  
FAST: Fidelity-Adjustable Semantic Transmission Over Heterogeneous Wireless Networks Conference paper
Li Peichun, Cheng Guoliang, Kang Jiawen, Yu Rong, Qian Liping, Wu Yuan, Niyato Dusit. FAST: Fidelity-Adjustable Semantic Transmission Over Heterogeneous Wireless Networks[C]:IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2023, 4689-4694.
Authors:  Li Peichun;  Cheng Guoliang;  Kang Jiawen;  Yu Rong;  Qian Liping; et al.
Favorite | TC[WOS]:2 TC[Scopus]:4 | Submit date：2024/02/22
Dynamic Neural Networks  On-demand Communications  Resource Management  Semantic Communications  
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