Structural impact of non-IID heterogeneity on federated behavioral anomaly detection in IoT and IoMT systems

The expansion of Internet of Things (IoT) and Internet of Medical Things (IoMT) infrastructures has increased the generation of multivariate sensor streams that reflect complex operational behaviors in industrial and clinical environments. Centralized anomaly detection approaches face limitations in...

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Bibliografiske detaljer

Principais autores:	Jorge Robalino-Díaz, Alejandro Cabrera-Andrade, Sergio Luján-Mora, William Villegas-Ch
Format:	Artigo
Sprog:	Inglês
Udgivet:	Frontiers Media S.A. 2026-06-01
Serier:	Frontiers in Artificial Intelligence
Fag:	artificial intelligence behavioral anomaly detection explainable artificial intelligence (XAI) federated learning IoMT security
Online adgang:	https://www.frontiersin.org/articles/10.3389/frai.2026.1825067/full
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