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Split Learning-Enabled Framework for Secure and Light-weight Internet of Medical Things Systems

arXiv — cs.LG•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
A new framework utilizing split learning aims to enhance the security of Internet of Medical Things (IoMT) devices, which are increasingly vulnerable to malware attacks. Traditional deep learning approaches struggle with the limited resources of these devices, while federated learning faces challenges with communication overhead and data variability. This innovative solution not only addresses these issues but also promises to improve the overall safety and efficiency of IoMT systems, making it a significant advancement in healthcare technology.
— via World Pulse Now AI Editorial System
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