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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| Fformat: | Artigo |
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Frontiers Media S.A.
2026-05-01
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| Cyfres: | Frontiers in Computer Science |
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| Mynediad Ar-lein: | https://www.frontiersin.org/articles/10.3389/fcomp.2026.1770179/full |
| Tagiau: |
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