Beyond data sharing: enhancing IoT intrusion detection with blockchain-enabled federated learning

Federated learning (FL) is a decentralized machine learning (ML) approach that can be used for intrusion detection in Internet of Things (IoT) devices. It involves the local training of AI models and their aggregation at a central server. This methodology eliminates the need for data sharing between...

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Egile Nagusiak:	Aditya Durgadas Naik, Raj Mani Shukla
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Frontiers Media S.A. 2026-05-01
Saila:	Frontiers in Computer Science
Gaiak:	blockchain federated learning internet of things intrusion detection machine learning
Sarrera elektronikoa:	https://www.frontiersin.org/articles/10.3389/fcomp.2026.1770179/full
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