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Federated Learning for Privacy-Preserving Intrusion Detection in Software-Defined Networks
Department of Computer Science, Riphah International University, Lahore Campus, Lahore, Pakistan; Department of Computer Science, Riphah International University, Sahiwal Campus, Sahiwal, Pakistan.ORCID iD: 0000-0001-6331-8719
Department of Computer Science, Riphah International University, Lahore Campus, Lahore, Pakistan.ORCID iD: 0000-0003-4736-2263
IT4Innovations, VSB—Technical University of Ostrava, Ostrava, Czech Republic; Department of Computer Science and Mathematics, Lebanese American University, Byblos, Lebanon.ORCID iD: 0000-0001-5153-297X
Department of Computer Science, Riphah International University, Lahore Campus, Lahore, Pakistan.ORCID iD: 0000-0002-2431-8182
2024 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 12, p. 69551-69567Article in journal (Refereed) Published
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IEEE, 2024. Vol. 12, p. 69551-69567
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URN: urn:nbn:se:ltu:diva-111703DOI: 10.1109/access.2024.3395997ISI: 001230490200001Scopus ID: 2-s2.0-85192196829OAI: oai:DiVA.org:ltu-111703DiVA, id: diva2:1939383
Available from: 2025-02-21 Created: 2025-02-21 Last updated: 2025-10-21Bibliographically approved

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Awais Sattar, Muhammad

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