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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Bibliographic Details

Published in:	Sensors
Main Authors:	Filip Jerkovic, Nurul I. Sarkar, Jahan Ali
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Subjects:	federated learning (FL) internet of things (IoT) smart grid (SG) edge computing machine learning (ML) internet privacy and security
Online Access:	https://www.mdpi.com/1424-8220/25/12/3700