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Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts

文献类型：期刊论文

作者Ouyang, Liwei5,6,7; Yuan, Yong3,4,5; Wang, Fei-Yue1,2,5
刊名IEEE INTERNET OF THINGS JOURNAL
出版日期2022-08-15
卷号9期号:16页码:14273-14286
ISSN号2327-4662
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
DOI10.1109/JIOT.2020.3032706
通讯作者Yuan, Yong(yong.yuan@ia.ac.cn)
英文摘要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 Since the existing trust-based collaboration models are no longer applicable for the large-scale distributed collaboration among trustless machines in open and dynamic environments, this article proposes a novel decentralized AI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.
WOS关键词INTERNET
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]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000838706600016
资助机构National Key Research and Development Program of China ; Science and Technology Development Fund, Macau SAR ; National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/49879]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Yuan, Yong
作者单位1.Macau Univ Sci & Technol, Inst Syst Engn, Macau, Peoples R China
2.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China
3.Minist Educ, Engn Res Ctr Finance Computat & Digital Engn, Beijing 100872, Peoples R China
4.Renmin Univ China, Sch Math, Beijing 100872, Peoples R China
5.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
7.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
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.

入库方式： OAI收割

来源：自动化研究所

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