Enhancing reliability and security in cloud-based telesurgery systems leveraging swarm-evoked distributed federated learning framework to mitigate multiple attacks

Enhancing reliability and security in cloud-based telesurgery systems leveraging swarm-evoked distributed federated learning framework to mitigate multiple attacks

Abstract Advances in robotic surgery are being driven by the convergence of technologies such as artificial intelligence (AI), 5G/6G wireless communication, the Internet of Things (IoT), and edge computing, enhancing clinical precision, speed, and real-time decision-making. However, the practical de...

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Bibliographic Details
Main Authors: S. Punitha, K. S. Preetha
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Telesurgery
Internet of things
Artificial intelligence
Optimized gated transformer networks
5G/6G wireless communication
Internet of surgical things
Online Access:https://doi.org/10.1038/s41598-025-12027-1
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https://doi.org/10.1038/s41598-025-12027-1

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