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FedGNN:Federated Graph Neural Networks for Privacy-Preserving Cyber-Resilient Energy Optimization in IoT-Based Smart Grids

Alanoud Al Mazroa Fahad Masood Bakri Hussain Awaji Mohammad Alhefdi Abeer Aljohani Jawad Ahmad

Computer Modeling in Engineering & Sciences2026，Vol.147Issue(5)：P.1462-1483,22.

Computer Modeling in Engineering & Sciences2026，Vol.147Issue(5)：P.1462-1483,22.DOI:10.32604/cmes.2026.080134

FedGNN:Federated Graph Neural Networks for Privacy-Preserving Cyber-Resilient Energy Optimization in IoT-Based Smart Grids

Alanoud Al Mazroa ¹Fahad Masood ²Bakri Hussain Awaji ³Mohammad Alhefdi ⁴Abeer Aljohani ⁵Jawad Ahmad⁶

作者信息

1. Department of Information Systems,College of Computer and Information Sciences,Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia
2. Department of Computer Science,CECOS University of IT and Emerging Sciences,Peshawar,Pakistan
3. Department of Computer Science,Collage of Computer Science and Information Systems,Najran University,Najran,Saudi Arabia
4. Computer Engineering Department,King Khalid University,Abha,Saudi Arabia
5. Department of Computer Science and Informatics,Applied College,Taibah University,Madinah,Saudi Arabia
6. Cybersecurity Center,Prince Mohammad Bin Fahd University,Alkhobar,Saudi Arabia
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摘要

关键词

Cyber security/energy optimization/graph neural networks/IoT/smart grids

分类

信息技术与安全科学

引用本文复制引用

Alanoud Al Mazroa,Fahad Masood,Bakri Hussain Awaji,Mohammad Alhefdi,Abeer Aljohani,Jawad Ahmad..FedGNN:Federated Graph Neural Networks for Privacy-Preserving Cyber-Resilient Energy Optimization in IoT-Based Smart Grids[J].Computer Modeling in Engineering & Sciences,2026,147(5):P.1462-1483,22.

基金项目

supported by the Deanship of Research and Graduate Studies,King Khalid University,for funding this work through a large research project under grant number(RGP2/603/45) （RGP2/603/45）

Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia,through the Researchers Supporting Project number(PNURSP2026R510). （PNURSP2026R510）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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