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Smart Grid IoT Framework for Predicting Energy Consumption Using Federated Learning Homomorphic Encryption

Homomorphic Encryption (HE) introduces new dimensions of security and privacy within federated learning (FL) and internet of things (IoT) frameworks that allow preservation of user privacy when handling data for FL occurring in Smart Grid (SG) technologies. In this paper, we propose a novel SG IoT f...

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Autors principals: Filip Jerkovic, Nurul I. Sarkar, Jahan Ali
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2025-06-01
Col·lecció:Sensors
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Accés en línia:https://www.mdpi.com/1424-8220/25/12/3700
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