A Federated Learning and Blockchain Framework for ‎IoMT-Driven Healthcare 5.0

Authors

  • Denis R Department of Computer Science, Mount Carmel College Autonomous, Bengaluru, Karnataka, India
  • N. Venkateswaran Department of Master of Business Administration, Panimalar Engineering College, Chennai, Tamil Nadu, India
  • S. Gangadharan St. Joseph's College of Engineering, Chennai, Tamil Nadu 600119, India.
  • M. Shunmugasundaram Department of Management Studies, St. Joseph's College of Engineering, Chennai, Tamil Nadu, India
  • Guduri Chitanya Department of English, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India
  • Girija M. S Department of Computer Science and Design, R.M.K Engineering College, Kavaraipettai, Tamil Nadu, India
  • V. V. Satyanarayana Tallapragada Department of ECE, School of Engineering, Mohan Babu University, Tirupati, Andhra Pradesh, India
  • R. G. Vidhya Department of ECE, HKBK College of Engineering, Bangalore, India

How to Cite

R, D., Venkateswaran , N. ., S. Gangadharan, Shunmugasundaram, M. . ., Chitanya , G. ., S, G. M. ., Tallapragada , V. V. S. ., & Vidhya , R. G. . (2025). A Federated Learning and Blockchain Framework for ‎IoMT-Driven Healthcare 5.0. International Journal of Basic and Applied Sciences, 14(1), 246-250. https://doi.org/10.14419/n1npsj75

Received date: March 21, 2025

Accepted date: April 30, 2025

Published date: May 10, 2025

DOI:

https://doi.org/10.14419/n1npsj75

Keywords:

Internet of Medical Things; Healthcare 5.0; Secure Data Exchange; Federated Learning; Blockchain Technology. 1. Introduction

Abstract

This paper presents an innovative framework integrating federated learning, blockchain, and the Internet of Medical Things ‎‎(IoMT) to revolutionize healthcare systems in the context of Healthcare 5.0. By harnessing advanced sensors and leveraging ‎‎5G technology, the framework enables continuous, real-time data collection and intelligent analysis, facilitating highly ‎personalized and timely medical interventions. Federated learning enables decentralized model training across edge devices, ‎preserving data privacy and enhancing security. Simultaneously, blockchain ensures the integrity and transparency of healthcare ‎records through a decentralized and tamper-proof ledger. The synergy of these technologies fosters secure and efficient ‎communication across a network of interconnected medical devices. This framework significantly enhances healthcare delivery ‎by promoting proactive, patient-focused, and adaptive care models. Additionally, IoMT expands the capabilities of medical ‎equipment by enabling remote monitoring, automated data transmission, and comprehensive patient oversight. As the vision of ‎Healthcare 5.0 progresses, embracing such cutting-edge technological solutions is vital for improving patient outcomes, ‎streamlining operations, and accelerating medical innovation. Through the combined power of federated learning, blockchain, ‎and IoMT, the healthcare sector stands on the brink of a transformative shift toward secure, intelligent, and personalized care‎.

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How to Cite

R, D., Venkateswaran , N. ., S. Gangadharan, Shunmugasundaram, M. . ., Chitanya , G. ., S, G. M. ., Tallapragada , V. V. S. ., & Vidhya , R. G. . (2025). A Federated Learning and Blockchain Framework for ‎IoMT-Driven Healthcare 5.0. International Journal of Basic and Applied Sciences, 14(1), 246-250. https://doi.org/10.14419/n1npsj75

Received date: March 21, 2025

Accepted date: April 30, 2025

Published date: May 10, 2025