A Federated Learning Architecture for Anomaly Detection on the Edge Using Deep Autoencoders

  1. Novoa-Paradela, D.
  2. Fontenla-Romero, O.
  3. Guijarro-Berdinas, B.
  4. Orellana-Canas, D.
Actas:
Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE

ISSN: 1524-4547

ISBN: 9798350350432

Año de publicación: 2023

2023 IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2023

Tipo: Aportación congreso

DOI: 10.1109/WETICE57085.2023.10477824 GOOGLE SCHOLAR
Fuente de los datos: Scopus