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HyFlaNK: A Hybrid Federated Learning Framework for Real-time Network Threat Detection.

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Title: HyFlaNK: A Hybrid Federated Learning Framework for Real-time Network Threat Detection.
Authors: Oyedemi, Oluyemisi Adenike1, oyedemi.adenike@ufla.br, Rosa, Renata Lopes1, renata.rosa@ufla.br, Matthew, Ugochukwu Okwudili1, ugochukwu.matthew@estudante.ufla.br, Rodríguez, Demóstenes Zegarra1, demostenes.zegarra@ufla.br
Source: Journal of Communications Software & Systems; Jun2026, Vol. 22 Issue 2, p221-231, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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      – Type: doi
        Value: 10.24138/jcomss-2025-0113
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 221
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      – TitleFull: HyFlaNK: A Hybrid Federated Learning Framework for Real-time Network Threat Detection.
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            NameFull: Oyedemi, Oluyemisi Adenike
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            NameFull: Rosa, Renata Lopes
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            NameFull: Matthew, Ugochukwu Okwudili
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              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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