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Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Telila, Yohannis Kifle, Senevirathne, Damitha, Tissera, Dumindu, Narayan, Apurva, Capretz, Miriam A. M., Grolinger, Katarina
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence Distributed, Parallel, and Cluster Computing 68 I.2; I.5; I.2.11; I.5.4
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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