Details of Research Outputs

TitleHybrid Blockchain-Based Resource Trading System for Federated Learning in Edge Computing
Author (Name in English or Pinyin)
Fan, Sizheng1,2; Zhang, Hongbo1,2; Zeng, Yuchen1,2; Cai, Wei1,2
Date Issued2021-02-15
Source PublicationIEEE Internet of Things Journal
ISSN2327-4662
DOI10.1109/JIOT.2020.3028101
Indexed BySCIE
Education discipline科技类
Published range国外学术期刊
Volume Issue Pages卷: 8 期: 4 页: 2252-2264
References
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Citation statistics
Cited Times:45[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/1962
CollectionSchool of Science and Engineering
Corresponding AuthorCai, Wei
Affiliation
1.Chinese Univ Hong Kong , Sch Sci & Engn, Shenzhen 518172, Peoples R China
2.Shenzhen Inst Artificial Intelligence & Robot Soc, Shenzhen, Peoples R China
Recommended Citation
GB/T 7714
Fan, Sizheng,Zhang, Hongbo,Zeng, Yuchenet al. Hybrid Blockchain-Based Resource Trading System for Federated Learning in Edge Computing[J]. IEEE Internet of Things Journal,2021.
APA Fan, Sizheng, Zhang, Hongbo, Zeng, Yuchen, & Cai, Wei. (2021). Hybrid Blockchain-Based Resource Trading System for Federated Learning in Edge Computing. IEEE Internet of Things Journal.
MLA Fan, Sizheng,et al."Hybrid Blockchain-Based Resource Trading System for Federated Learning in Edge Computing".IEEE Internet of Things Journal (2021).
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