Federated intelligence for smart grids: a comprehensive review of security and privacy strategies

Abstract The increasing complexity and interconnectivity of smart grid (SG) systems have exposed them to a wide array of cybersecurity threats. This review paper critically surveys recent advancements in federated learning (FL) as a privacy-preserving machine learning technique for addressing these...

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Bibliographic Details

Published in:	Journal of Electrical Systems and Information Technology
Main Authors:	Raseel Z. Alshamasi, Dina M. Ibrahim
Format:	Article
Language:	English
Published:	SpringerOpen 2025-07-01
Subjects:	Deep learning Smart grid Federated learning Security Privacy False data injection (FDI) attack
Online Access:	https://doi.org/10.1186/s43067-025-00235-8