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Mitigating malicious model fusion in federated learning via confidence-aware defense.

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Title: Mitigating malicious model fusion in federated learning via confidence-aware defense.
Authors: Li, Qilei1,2, qilei.li@ccnu.edu.cn, Papageorgiou, Pantelis2, Liu, Gaoyang3, Gao, Mingliang4, You, Linlin5, Wang, Chen3, Abdelmoniem, Ahmed M.2, ahmed.sayed@qmul.ac.uk
Source: Information Fusion; Feb2026:Part A, Vol. 126, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188578640
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Mitigating malicious model fusion in federated learning via confidence-aware defense.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188578640
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.inffus.2025.103529
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Mitigating malicious model fusion in federated learning via confidence-aware defense.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Li, Qilei
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            NameFull: Liu, Gaoyang
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            NameFull: Gao, Mingliang
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            NameFull: You, Linlin
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            NameFull: Wang, Chen
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            NameFull: Abdelmoniem, Ahmed M.
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            – D: 01
              M: 02
              Text: Feb2026:Part A
              Type: published
              Y: 2026
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              Value: 126
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            – TitleFull: Information Fusion
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