View in EDS PDF Full Text

GSFL: A Privacy-Preserving Grouping-Split Federated Learning Approach in Resource-Constrained Edge Computing Scenarios.

Saved in:
Bibliographic Details
Title: GSFL: A Privacy-Preserving Grouping-Split Federated Learning Approach in Resource-Constrained Edge Computing Scenarios.
Authors: Liu, Qi1, qi.liu@nuist.edu.cn, Wang, Zhilu2, zhiluwang@nuist.edu.cn, Zhou, Xiaokang3, zhou@kansai-u.ac.jp, Zhang, Yonghong4, zyh@nuist.edu.cn, Liu, Xiaodong5, x.liu@napier.ac.uk, Lin, Haiyang6, 202212490371@nuist.edu.cn
Source: ACM Transactions on Autonomous & Adaptive Systems; Dec2025, Vol. 20 Issue 4, p1-29, 29p
Database: Applied Science & Technology Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189908901
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: GSFL: A Privacy-Preserving Grouping-Split Federated Learning Approach in Resource-Constrained Edge Computing Scenarios.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Liu%2C+Qi%22">Liu, Qi</searchLink><relatesTo>1</relatesTo>, <i>qi.liu@nuist.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Zhilu%22">Wang, Zhilu</searchLink><relatesTo>2</relatesTo>, <i>zhiluwang@nuist.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhou%2C+Xiaokang%22">Zhou, Xiaokang</searchLink><relatesTo>3</relatesTo>, <i>zhou@kansai-u.ac.jp</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Yonghong%22">Zhang, Yonghong</searchLink><relatesTo>4</relatesTo>, <i>zyh@nuist.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Xiaodong%22">Liu, Xiaodong</searchLink><relatesTo>5</relatesTo>, <i>x.liu@napier.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Lin%2C+Haiyang%22">Lin, Haiyang</searchLink><relatesTo>6</relatesTo>, <i>202212490371@nuist.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22ACM+Transactions+on+Autonomous+%26+Adaptive+Systems%22">ACM Transactions on Autonomous & Adaptive Systems</searchLink>; Dec2025, Vol. 20 Issue 4, p1-29, 29p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189908901
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1145/3725221
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 29
        StartPage: 1
    Titles:
      – TitleFull: GSFL: A Privacy-Preserving Grouping-Split Federated Learning Approach in Resource-Constrained Edge Computing Scenarios.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Liu, Qi
      – PersonEntity:
          Name:
            NameFull: Wang, Zhilu
      – PersonEntity:
          Name:
            NameFull: Zhou, Xiaokang
      – PersonEntity:
          Name:
            NameFull: Zhang, Yonghong
      – PersonEntity:
          Name:
            NameFull: Liu, Xiaodong
      – PersonEntity:
          Name:
            NameFull: Lin, Haiyang
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 15564665
          Numbering:
            – Type: volume
              Value: 20
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: ACM Transactions on Autonomous & Adaptive Systems
              Type: main
ResultId 1