Knowledge Commons of Institute of Automation,CAS
Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts | |
Ouyang, Liwei1,2,3; Yuan, Yong3,4,5; Wang, Fei-Yue3,6,7 | |
发表期刊 | IEEE INTERNET OF THINGS JOURNAL |
ISSN | 2327-4662 |
2022-08-15 | |
卷号 | 9期号:16页码:14273-14286 |
摘要 | Artificial intelligence (AI) has been witnessed to provide valuable solutions to all walks of life. However, data island and computing resources limitations in the centralized AI architectures have increased their technical barriers, and thus distributed AI collaboration in data, models, and resources has attracted intensive research interests. Since the existing trust-based collaboration models are no longer applicable for the large-scale distributed collaboration among trustless machines in open and dynamic environments, this article proposes a novel decentralized AI collaboration framework, i.e., learning markets (LM), in which blockchain provides a trustless environment for collaboration and transaction, while smart contracts serve as software-defined agents to encapsulate and process scalable collaboration relationships and market mechanisms. LM can not only help those participants without mutual trust realize collaborative mining with dynamic and quantitative rewards but also build an AI market with natural auditability and traceability for trading trusted and verified models. We implement and comprehensively analyze LM based on the Ethereum interplenary file system platform (IPFS), and the results prove that it has advantages in collaboration fairness, transparency, security, decentralization and universality. Based on our collaboration framework, distributed AI contributors are expected to cooperate and complete those learning tasks that cannot be done previously due to lack of complete data, sufficient computing resources and state-of-the-art models. |
关键词 | Collaboration Artificial intelligence Data models Computational modeling Smart contracts Blockchain Distributed databases Artificial intelligence (AI) collaboration blockchain ensemble learning federated learning (FL) smart contracts |
DOI | 10.1109/JIOT.2020.3032706 |
关键词[WOS] | INTERNET |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key Research and Development Program of China[2018AAA0101401] ; Science and Technology Development Fund, Macau SAR[0050/2020/A1] ; National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[71702182] |
项目资助者 | National Key Research and Development Program of China ; Science and Technology Development Fund, Macau SAR ; National Natural Science Foundation of China |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
WOS类目 | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
WOS记录号 | WOS:000838706600016 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
七大方向——子方向分类 | 平行管理与控制 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/49880 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
作者单位 | 1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Renmin Univ China, Sch Math, Beijing 100872, Peoples R China 5.Minist Educ, Engn Res Ctr Finance Computat & Digital Engn, Beijing 100872, Peoples R China 6.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China 7.Macau Univ Sci & Technol, Inst Syst Engn, Macau, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Ouyang, Liwei,Yuan, Yong,Wang, Fei-Yue. Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts[J]. IEEE INTERNET OF THINGS JOURNAL,2022,9(16):14273-14286. |
APA | Ouyang, Liwei,Yuan, Yong,&Wang, Fei-Yue.(2022).Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts.IEEE INTERNET OF THINGS JOURNAL,9(16),14273-14286. |
MLA | Ouyang, Liwei,et al."Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts".IEEE INTERNET OF THINGS JOURNAL 9.16(2022):14273-14286. |
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