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A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework.

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Title: A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework.
Authors: Mbonu, Washington Enyinna1, washington.mbonu@warwick.ac.uk, Maple, Carsten1, Epiphaniou, Gregory1, Panchev, Christo1
Source: Big Data & Cognitive Computing; Apr2025, Vol. 9 Issue 4, p85, 38p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 184834304
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PubType: Academic Journal
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        Value: 10.3390/bdcc9040085
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      – Code: eng
        Text: English
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        PageCount: 38
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      – TitleFull: A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework.
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            NameFull: Maple, Carsten
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              Text: Apr2025
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