Application of Federated Learning in Cardiology: Key Challenges and Potential Solutions
Saifur Rahman, Chandan Karmarkar, Sheikh Mohammed Shariful Islam · Mayo Clinic Proceedings Digital Health · 2024
Cardiology has been at the forefront of technological innovations. Recent applications of the Internet of Things (IoT) in cardiology have gained attention for remote patient monitoring and data analysis1. With the surge in IoT data collection, distributed learning has emerged, addressing the challenge of processing vast IoT datasets.2 Distributed learning removes computational constraints and enhances response times, reducing reliance on centralised servers and making it easy for cardiology clinics and hospitals to use IoT technologies.