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Risk-Aware Adaptive Federated Learning for Cyber-Secure Edge-AI in Smart Edge-IoT Environments

Tanveer Ahmad Tahani Alsubait Amina Salhi Amani Ibraheem Muhammad Asim Saleem

Computer Modeling in Engineering & Sciences2026，Vol.147Issue(5)：P.1439-1461,23.

Computer Modeling in Engineering & Sciences2026，Vol.147Issue(5)：P.1439-1461,23.DOI:10.32604/cmes.2026.080285

Risk-Aware Adaptive Federated Learning for Cyber-Secure Edge-AI in Smart Edge-IoT Environments

Tanveer Ahmad ¹Tahani Alsubait ²Amina Salhi ³Amani Ibraheem ⁴Muhammad Asim Saleem⁵

作者信息

1. Department of Computer Science and Engineering,University of Cyprus,Nicosia,Cyprus
2. Department of Computer Science and Artificial Intelligence,Umm Al-Qura University,Makkah,Saudi Arabia
3. Department of Information Systems,College of Computer and Information Sciences,Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia
4. College of Computer Science,King Khalid University,Abha,Saudi Arabia
5. Center of Excellence in Artificial Intelligence,Machine Learning and Smart Grid Technology,Department of Electrical Engineering,Faculty of Engineering,Chulalongkorn University,Bangkok,Thailand
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摘要

关键词

Edge AI/federated learning(FL)/adaptive learning/adversarial robustness/distributed optimization

分类

信息技术与安全科学

引用本文复制引用

Tanveer Ahmad,Tahani Alsubait,Amina Salhi,Amani Ibraheem,Muhammad Asim Saleem..Risk-Aware Adaptive Federated Learning for Cyber-Secure Edge-AI in Smart Edge-IoT Environments[J].Computer Modeling in Engineering & Sciences,2026,147(5):P.1439-1461,23.

基金项目

supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2026R909) （PNURSP2026R909）

Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia （）

The authors also extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through the Small Research Project under grant number RGP1/160/46. （）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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