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CASIA OpenIR

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Privacy Protection for Blockchain-Based Healthcare IoT Systems: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1757-1776
作者:  Minfeng Qi;  Ziyuan Wang;  Qing-Long Han;  Jun Zhang;  Shiping Chen;  Yang Xiang
Adobe PDF(2394Kb)  |  收藏  |  浏览/下载：19/8  |  提交时间：2024/07/16
Blockchain  internet of healthcare things (IoHT)  privacy-preserving techniques (PPTs)  
Generative AI Empowering Parallel Manufacturing: Building a “6S” Collaborative Production Ecology for Manufacturing 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, 页码: 1-15
作者:  Jing Yang;  Yutong Wang;  Xingxia Wang;  Xiaoxing Wang;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(3887Kb)  |  收藏  |  浏览/下载：56/14  |  提交时间：2024/06/06
The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0 期刊论文
Information Fusion, 2024, 卷号: 107, 页码: 1-16
作者:  Xiao Wang;  Yutong Wang;  Jing Yang;  Xiaofeng Jia;  Lijun Li;  Weiping Ding;  Fei-Yue Wang
Adobe PDF(4446Kb)  |  收藏  |  浏览/下载：56/11  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
A Paradigm Shift for Modeling and Operation of Oil and Gas: From Industry 4.0 in CPS to Industry 5.0 in CPSS 期刊论文
IEEE Transactions on Industrial Informatics, 2024, 页码: 1-8
作者:  Xingxia Wang;  Yutong Wang;  Jing Yang;  Xiao Wang;  Zonglin Meng;  Zhaohai Liu;  Fei-Yue Wang
Adobe PDF(2770Kb)  |  收藏  |  浏览/下载：53/13  |  提交时间：2024/06/06
Oils  Fifth Industrial Revolution  Production  Fourth Industrial Revolution  Biology  Service robots  Transportation  Cyber-physical systems (CPS)  cyber-physical-social systems (CPSS)  Industry 4.0  Industry 5.0  parallel intelligence  parallel oil and gas  
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories 期刊论文
IEEE Communications Surveys and Tutorials, 2024, 页码: 50
作者:  Yang,Ning;  Chen,Shuo;  Zhang,Haijun;  Berry,Randall
Adobe PDF(1694Kb)  |  收藏  |  浏览/下载：63/8  |  提交时间：2024/06/01
Reinforcement learning, mobile edge computing, offloading scheduling, content caching, and communication  
平行智能与CPSS:三十年发展的回顾与展望 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 3, 页码: 614-634
作者:  杨静;  王晓;  王雨桐;  刘忠民;  李小双;  王飞跃
Adobe PDF(12560Kb)  |  收藏  |  浏览/下载：65/15  |  提交时间：2024/05/09
社会物理信息系统  平行智能  人工系统  计算实验  平行执行  
Federated Learning on Multimodal Data: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 539-553
作者:  Yi-Ming Lin;   Yuan Gao;  Mao-Guo Gong;  Si-Jia Zhang;  Yuan-Qiao Zhang;  Zhi-Yuan Li
Adobe PDF(1253Kb)  |  收藏  |  浏览/下载：35/15  |  提交时间：2024/04/23
Federated learning, multimodal learning, heterogeneous data, edge computing, collaborative learning  
A Survey on Collaborative DNN Inference for Edge Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 370-395
作者:  Wei-Qing Ren;  Yu-Ben Qu;  Chao Dong;  Yu-Qian Jing;  Hao Sun;  Qi-Hui Wu;  Song Guo
Adobe PDF(2969Kb)  |  收藏  |  浏览/下载：63/20  |  提交时间：2024/04/23
Artificial intelligence (AI), edge intelligence (EI), distributed computing, deep neural network (DNN), collaborative inference  
A Weighted Average Consensus Approach for Decentralized Federated Learning 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 319-330
作者:  Alessandro Giuseppi;  Sabato Manfredi;  Antonio Pietrabissa
Adobe PDF(1462Kb)  |  收藏  |  浏览/下载：61/23  |  提交时间：2024/04/23
Federated learning (FedL)  deep learning  federated averaging (FedAvg)  machine learning (ML)  artificial intelligence  discrete-time consensus  distributed systems  
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038
作者:  Xiao Xue;  Deyu Zhou;  Xiangning Yu;  Gang Wang;  Juanjuan Li;  Xia Xie;  Lizhen Cui;  Fei-Yue Wang
Adobe PDF(7239Kb)  |  收藏  |  浏览/下载：78/19  |  提交时间：2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model