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Toward Secure and Adaptive Medical Digital Twins:A Privacy-Preserving Federated Multi-Agent Reinforcement Learning Framework

Tallha Akram Sadiq Ahmad Meshal Alharbi

Computers, Materials & Continua2026，Vol.89Issue(10)：P.858-875,18.

Computers, Materials & Continua2026，Vol.89Issue(10)：P.858-875,18.DOI:10.32604/cmc.2026.081458

Toward Secure and Adaptive Medical Digital Twins:A Privacy-Preserving Federated Multi-Agent Reinforcement Learning Framework

Tallha Akram ¹Sadiq Ahmad ²Meshal Alharbi³

作者信息

1. Department of Information Systems,College of Computer Engineering and Sciences,Prince Sattam bin Abdulaziz University,Al-Kharj,Saudi Arabia
2. COMSATS University Islamabad,Wah Campus,Electrical Engineering Department,Wah Cantt,Pakistan
3. Department of Computer Science,College of Computer Engineering and Sciences,Prince Sattam bin Abdulaziz University,Al-Kharj,Saudi Arabia
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摘要

关键词

Medical digital twin/federated multi-agent reinforcement learning/PA3C-PP/MA-POMDP

分类

医药卫生

引用本文复制引用

Tallha Akram,Sadiq Ahmad,Meshal Alharbi..Toward Secure and Adaptive Medical Digital Twins:A Privacy-Preserving Federated Multi-Agent Reinforcement Learning Framework[J].Computers, Materials & Continua,2026,89(10):P.858-875,18.

基金项目

Prince Sattam bin Abdulaziz University for funding this research work through the project number(PSAU/2025/01/35090). （PSAU/2025/01/35090）

Computers, Materials & Continua

ISSN：1546-2218

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