View in EDS HTML Full Text PDF Full Text

A Federated Ensemble Learning Framework for Distributed Fraud Detection.

Saved in:
Bibliographic Details
Title: A Federated Ensemble Learning Framework for Distributed Fraud Detection.
Authors: Ghourabi, Abdallah1, aghourabi@ju.edu.sa, Khaldi, Kais1
Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 9, p4508, 25p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193716850
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Federated Ensemble Learning Framework for Distributed Fraud Detection.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Ghourabi%2C+Abdallah%22">Ghourabi, Abdallah</searchLink><relatesTo>1</relatesTo>, <i>aghourabi@ju.edu.sa</i><br /><searchLink fieldCode="AU" term="%22Khaldi%2C+Kais%22">Khaldi, Kais</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; May2026, Vol. 16 Issue 9, p4508, 25p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193716850
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/app16094508
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 4508
    Titles:
      – TitleFull: A Federated Ensemble Learning Framework for Distributed Fraud Detection.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ghourabi, Abdallah
      – PersonEntity:
          Name:
            NameFull: Khaldi, Kais
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20763417
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Applied Sciences (2076-3417)
              Type: main
ResultId 1