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FedDP: A Privacy-Protecting Theft Detection Scheme in Smart Grids Using Federated Learning

In smart grids (SGs), the systematic utilization of consumer energy data while maintaining its privacy is of paramount importance. This research addresses this problem by energy theft detection while preserving the privacy of client data. In particular, this research identifies centralized models as...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Muhammad Mansoor Ashraf, Muhammad Waqas, Ghulam Abbas, Thar Baker, Ziaul Haq Abbas, Hisham Alasmary
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2022-08-01
Schriftenreihe:Energies
Schlagworte:
federated learning
smart grids
federated voting classifier
privacy protection
theft detection
Online-Zugang:https://www.mdpi.com/1996-1073/15/17/6241
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