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Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder Journal article
Chen, Hao, Wang, Xian Bo, Yang, Zhi Xin, Li, Jia ming. Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder[J]. Expert Systems with Applications, 2024, 254, 124256.
Authors:  Chen, Hao;  Wang, Xian Bo;  Yang, Zhi Xin;  Li, Jia ming
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2024/07/04
Federated Learning  Intelligent Fault Diagnosis  Stacked Capsule Autoencoder  Wind Turbine  
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  
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  
Federated learning using model projection for multi-center disease diagnosis with non-IID data Journal article
Du, Jie, Li, Wei, Liu, Peng, Vong, Chi Man, You, Yongke, Lei, Baiying, Wang, Tianfu. Federated learning using model projection for multi-center disease diagnosis with non-IID data[J]. Neural Networks, 2024, 178, 106409.
Authors:  Du, Jie;  Li, Wei;  Liu, Peng;  Vong, Chi Man;  You, Yongke; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2024/07/04
Catastrophic Forgetting  Federated Learning  Invalid Aggregation  Multi-center Disease Diagnosis  Non-iid Data  
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing Conference paper
Wu, Yebo, Li, Li, Tian, Chunlin, Chang, Tao, Lin, Chi, Wang, Cong, Xu, Cheng Zhong. Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Wu, Yebo;  Li, Li;  Tian, Chunlin;  Chang, Tao;  Lin, Chi; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/11/05
Federated Learning  Heterogeneous Memory  On-device Training  Training  Accuracy  Runtime  Perturbation Methods  Memory Management  Quality Of Service  
Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks Conference paper
Zhan, Shichen, Wu, Yebo, Tian, Chunlin, Zhao, Yan, Li, Li. Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Zhan, Shichen;  Wu, Yebo;  Tian, Chunlin;  Zhao, Yan;  Li, Li
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2024/11/05
Federated Learning  Pre-training  Resource-efficient  Training  Performance Evaluation  Energy Consumption  Accuracy  Memory Management  Quality Of Service  
FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control Conference paper
Ma, Jialiang, Tian, Chunlin, Li, Li, Xu, Chengzhong. FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Ma, Jialiang;  Tian, Chunlin;  Li, Li;  Xu, Chengzhong
Favorite | TC[WOS]:0 TC[Scopus]:2 | Submit date：2024/11/05
Training  Federated Learning  Velocity Control  Process Control  Collaboration  Quality Of Service  Distance Measurement  Autonomous Driving  Federated Learning  Control Optimization  
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]:8 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  
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  
Privacy-Enhanced and Efficient Federated Knowledge Transfer Framework in IoT Journal article
Pan, Yanghe, Su, Zhou, Wang, Yuntao, Li, Ruidong, Wu, Yuan. Privacy-Enhanced and Efficient Federated Knowledge Transfer Framework in IoT[J]. IEEE Internet of Things Journal, 2024.
Authors:  Pan, Yanghe;  Su, Zhou;  Wang, Yuntao;  Li, Ruidong;  Wu, Yuan
Favorite | TC[Scopus]:0  IF:8.2/9.0 | Submit date：2024/10/10
Federated Learning  Knowledge Transfer  Data Models  Differential Privacy  Iot