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

  1. Sáez-de-Cámara, X.
  2. Flores, J.L.
  3. Arellano, C.
  4. Urbieta, A.
  5. Zurutuza, U.
Aldizkaria:
Computers and Security

ISSN: 0167-4048

Argitalpen urtea: 2023

Alea: 131

Mota: Artikulua

DOI: 10.1016/J.COSE.2023.103299 GOOGLE SCHOLAR lock_openSarbide irekia editor HANDLE: https://hdl.handle.net/20.500.11984/6217
eBiltegia. Repositorio digital de Mondragon Unibertsitatea: lock_openSarbide irekia Externo lock_openSarbide irekia Handle

Lotura duten proiektuak

Grupo de sistemas Inteligentes para sistemas Industriales (2022-2025)
Datuen iturria: Scopus