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Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 16, 页码: 14273-14286
作者:  Ouyang, Liwei;  Yuan, Yong;  Wang, Fei-Yue
Adobe PDF(2684Kb)  |  收藏  |  浏览/下载：321/22  |  提交时间：2022/09/19
Collaboration  Artificial intelligence  Data models  Computational modeling  Smart contracts  Blockchain  Distributed databases  Artificial intelligence (AI) collaboration  blockchain  ensemble learning  federated learning (FL)  smart contracts  
A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 570, 页码: 124-143
作者:  Ouyang, Liwei;  Yuan, Yong;  Cao, Yumeng;  Wang, Fei-Yue
Adobe PDF(1322Kb)  |  收藏  |  浏览/下载：275/58  |  提交时间：2021/08/15
Blockchain  Smart contracts  Federated learning  Learning markets  Collaborative early warning  
A novel hybrid share reporting strategy for blockchain miners in PPLNS pools 期刊论文
DECISION SUPPORT SYSTEMS, 2019, 卷号: 118, 期号: NA, 页码: 91-101
作者:  Qin, Rui;  Yuan, Yong;  Wang, Fei-Yue
浏览  |  Adobe PDF(2213Kb)  |  收藏  |  浏览/下载：455/151  |  提交时间：2019/07/12
Share reporting strategy  Blockchain mining  PPLNS reward  Pool mining  Computational experiments approach  
Optimal Share Reporting Strategies for Blockchain Miners in PPLNS Pools 会议论文
Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyataka, Japan, Oct. 7-10, 2018
作者:  Qin, Rui;  Yuan, Yong;  Wang, Fei-Yue
浏览  |  Adobe PDF(385Kb)  |  收藏  |  浏览/下载：449/166  |  提交时间：2018/09/20
Share Reporting Strategy  Blockchain Mining  Pplns Reward  Pool Mining  Computational Experiments Approach  
A hierarchical framework for ad inventory allocation in programmatic advertising markets 期刊论文
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2018, 卷号: 31, 页码: 40-51
作者:  Juanjuan Li;  Xiaochun Ni;  Yong Yuan;  Fei-Yue Wang
浏览  |  Adobe PDF(1018Kb)  |  收藏  |  浏览/下载：435/163  |  提交时间：2018/09/20
Programmatic advertising  Ad inventory  Real-time bidding  Private marketplace  Header bidding