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Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks

Zurutuza, Urko (Elsevier, 2023)

There is a growing trend of cyberattacks against Internet of Things (IoT) devices; moreover, the sophistication and motivation of those attacks is increasing. The vast scale of IoT, diverse hardware and software, and being ...

Towards manufacturing robotics accuracy degradation assessment: A vision-based data-driven implementation

Izagirre, Unai; andonegui, imanol; Eciolaza, Luka; Zurutuza, Urko (Elsevier, 2021)

In this manuscript we report on a vision-based data-driven methodology for industrial robot health assessment. We provide an experimental evidence of the usefulness of our methodology on a system comprised of a 6-axis ...