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Secure and Explainable Federated Learning for IoT Intrusion Detection: A Comprehensive Survey

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Bibliographic Details
Published in:IEEE Open Journal of the Communications Society
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Open Journal of the Communications Society
description
discipline_display Arts & Humanities
discipline_facet Arts & Humanities
format Online Article
RSS Article
genre Journal Article
id rss_article:32401
institution FRELIP
journal_source_facet IEEE Open Journal of the Communications Society
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Secure and Explainable Federated Learning for IoT Intrusion Detection: A Comprehensive Survey
— — — — — Communications
Communication & Media
Arts & Humanities
sub_discipline_display Communication & Media
sub_discipline_facet Communication & Media
subject_display — — — — — Communications
Communication & Media
Arts & Humanities
— — — — — Communications
Communication & Media
Arts & Humanities
subject_facet — — — — — Communications
Communication & Media
Arts & Humanities
title Secure and Explainable Federated Learning for IoT Intrusion Detection: A Comprehensive Survey
title_auth Secure and Explainable Federated Learning for IoT Intrusion Detection: A Comprehensive Survey
title_full Secure and Explainable Federated Learning for IoT Intrusion Detection: A Comprehensive Survey
title_fullStr Secure and Explainable Federated Learning for IoT Intrusion Detection: A Comprehensive Survey
title_full_unstemmed Secure and Explainable Federated Learning for IoT Intrusion Detection: A Comprehensive Survey
title_short Secure and Explainable Federated Learning for IoT Intrusion Detection: A Comprehensive Survey
title_sort secure and explainable federated learning for iot intrusion detection: a comprehensive survey
topic — — — — — Communications
Communication & Media
Arts & Humanities
url http://ieeexplore.ieee.org/document/11475842