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Crowdsourcing-based Model Testing in Federated Learning

  • Yunpeng Yi
  • , Hongtao Lv
  • , Tie Luo
  • , Junfeng Yang
  • , Lei Liu
  • , Lizhen Cui
  • Shandong University
  • Beijing Aerospace Automatic Control Institute
  • Shandong Research Institute of Industrial Technology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023
EditorsJia Hu, Geyong Min, Guojun Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages207-213
Number of pages7
ISBN (Electronic)9798350381993
DOIs
StatePublished - 2023
Event22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2023 - Exeter, United Kingdom
Duration: Nov 1 2023Nov 3 2023

Publication series

NameProceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023

Conference

Conference22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2023
Country/TerritoryUnited Kingdom
CityExeter
Period11/1/2311/3/23

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

Keywords

  • correlated agreement
  • crowdsourcing
  • Federated learning
  • model testing

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