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

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.