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A unified hybrid memory system for scalable deep learning and big data applications Journal article
Rang, Wei, Liang, Huanghuang, Wang, Ye, Zhou, Xiaobo, Cheng, Dazhao. A unified hybrid memory system for scalable deep learning and big data applications[J]. Journal of Parallel and Distributed Computing, 2024, 186, 104820.
Authors:  Rang, Wei;  Liang, Huanghuang;  Wang, Ye;  Zhou, Xiaobo;  Cheng, Dazhao
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.4/3.4 | Submit date：2024/05/02
Data Placement And Migration  Dnn Applications  Hybrid Memory System  Nvm  Unified Memory Management  
GraphCS: Graph-based Client Selection for Heterogeneity in Federated Learning Journal article
Tao Chang, Li Li, Meihan Wu, Xiaodong Wang, ChengZhong Xu, Wei Yu. GraphCS: Graph-based Client Selection for Heterogeneity in Federated Learning[J]. Journal of Parallel and Distributed Computing, 2023, 177, 131-143.
Authors:  Tao Chang;  Li Li;  Meihan Wu;  Xiaodong Wang;  ChengZhong Xu; et al.
Favorite | TC[WOS]:3 TC[Scopus]:7  IF:3.4/3.4 | Submit date：2023/08/28
Federated Learning  Client Selection  Heterogeneity  
PAGroup: Privacy-aware grouping framework for high-performance federated learning Journal article
Chang, Tao, Li, Li, Wu, Mei Han, Yu, Wei, Wang, Xiaodong, Xu, Cheng Zhong. PAGroup: Privacy-aware grouping framework for high-performance federated learning[J]. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2023, 175, 37-50.
Authors:  Chang, Tao;  Li, Li;  Wu, Mei Han;  Yu, Wei;  Wang, Xiaodong; et al.
Favorite | TC[WOS]:2 TC[Scopus]:4  IF:3.4/3.4 | Submit date：2023/02/28
Client Grouping  Federated Learning  Social Relationship  
Towards scalable and efficient Deep-RL in edge computing: A game-based partition approach Journal article
Dai, Hao, Wu, Jiashu, Wang, Yang, Xu, Chengzhong. Towards scalable and efficient Deep-RL in edge computing: A game-based partition approach[J]. Journal of Parallel and Distributed Computing, 2022, 168, 108-119.
Authors:  Dai, Hao;  Wu, Jiashu;  Wang, Yang;  Xu, Chengzhong
Favorite | TC[WOS]:11 TC[Scopus]:12  IF:3.4/3.4 | Submit date：2022/08/02
Mobile Edge Computing  Deep Reinforcement Learning  Dnn Partition  Game Theory  
FGFL: A Blockchain-based Fair Incentive Governor for Federated Learning Journal article
Liang Gao, Li Li, Yingwen Chen, ChengZhong Xu, Ming Xu. FGFL: A Blockchain-based Fair Incentive Governor for Federated Learning[J]. Journal of Parallel and Distributed Computing, 2022.
Authors:  Liang Gao, Li Li, Yingwen Chen, ChengZhong Xu, Ming Xu
Favorite |   IF:3.4/3.4 | Submit date：2022/08/30
FGFL: A blockchain-based fair incentive governor for Federated Learning Journal article
Liang Gao, Li Li, Yingwen Chen, Cheng Zhong Xu, Ming Xu. FGFL: A blockchain-based fair incentive governor for Federated Learning[J]. Journal of Parallel and Distributed Computing, 2022, 163, 283-299.
Authors:  Liang Gao;  Li Li;  Yingwen Chen;  Cheng Zhong Xu;  Ming Xu
Favorite | TC[WOS]:28 TC[Scopus]:41  IF:3.4/3.4 | Submit date：2022/05/13
Attack Detection  Federated Learning  Incentive Mechanism  
Detection resource allocation scheme for two-layer cooperative IDSs in smart grids Journal article
Xia, Zhuoqun, Tan, Jingjing, Gu, Ke, Jia, Wei Jia. Detection resource allocation scheme for two-layer cooperative IDSs in smart grids[J]. Journal of Parallel and Distributed Computing, 2020, 147, 236-247.
Authors:  Xia, Zhuoqun;  Tan, Jingjing;  Gu, Ke;  Jia, Wei Jia
Favorite | TC[WOS]:11 TC[Scopus]:13  IF:3.4/3.4 | Submit date：2021/12/07
Intrusion Detection System  Resource Allocation  Sharing Strategy  Smart Grids  
Towards cost-effective service migration in mobile edge: A Q-learning approach Journal article
Wang,Yang, Cao,Shan, Ren,Hongshuai, Li,Jianjun, Ye,Kejiang, Xu,Chengzhong, Chen,Xi. Towards cost-effective service migration in mobile edge: A Q-learning approach[J]. Journal of Parallel and Distributed Computing, 2020, 146, 175-188.
Authors:  Wang,Yang;  Cao,Shan;  Ren,Hongshuai;  Li,Jianjun;  Ye,Kejiang; et al.
Favorite | TC[WOS]:6 TC[Scopus]:12  IF:3.4/3.4 | Submit date：2021/03/09
Mobile Edge Computing  Dynamic Service Migration  Reinforcement Learning  Q-learning  Software-defined Networking  
Edge-based differential privacy computing for sensor–cloud systems Journal article
Wang, Tian, Mei, Yaxin, Jia, Weijia, Zheng, Xi, Wang, Guojun, Xie, Mande. Edge-based differential privacy computing for sensor–cloud systems[J]. Journal of Parallel and Distributed Computing, 2020, 136, 75-85.
Authors:  Wang, Tian;  Mei, Yaxin;  Jia, Weijia;  Zheng, Xi;  Wang, Guojun; et al.
Favorite | TC[WOS]:82 TC[Scopus]:106  IF:3.4/3.4 | Submit date：2021/12/06
Data Collection  Edge-based Model  Privacy Computing  Privacy Protection  Sensor–cloud