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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| Main Authors: | Raseel Z. Alshamasi, Dina M. Ibrahim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
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| Series: | Journal of Electrical Systems and Information Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43067-025-00235-8 |
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