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G-PFL-ID: Graph-Driven Personalized Federated Learning for Unsupervised Intrusion Detection in Non-IID IoT Systems.

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Title: G-PFL-ID: Graph-Driven Personalized Federated Learning for Unsupervised Intrusion Detection in Non-IID IoT Systems.
Authors: Oladele, Daniel Ayo1, oladeda@unisa.ac.za, Ige, Ayokunle1, Agbo-Ajala, Olatunbosun1, Ekundayo, Olufisayo1, Thottempudi, Sree Ganesh1, Sibiya, Malusi1, Mnkandla, Ernest1
Source: Internet of Things (IoT); Mar2026, Vol. 7 Issue 1, p13, 31p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192660326
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: G-PFL-ID: Graph-Driven Personalized Federated Learning for Unsupervised Intrusion Detection in Non-IID IoT Systems.
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        Value: 10.3390/iot7010013
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      – Code: eng
        Text: English
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        PageCount: 31
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      – TitleFull: G-PFL-ID: Graph-Driven Personalized Federated Learning for Unsupervised Intrusion Detection in Non-IID IoT Systems.
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              Text: Mar2026
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              Y: 2026
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