Federated Learning-Empowered Disease Diagnosis Mechanism in the Internet of Medical Things: From the Privacy-Preservation Perspective

• Published in: IEEE transactions on industrial informatics Vol. 19; no. 7; pp. 7905 - 7913
• Main Authors: Wang, Xiaoding, Hu, Jia, Lin, Hui, Liu, Wenxin, Moon, Hyeonjoon, Piran, Md. Jalil
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.07.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial intelligence; Data models; Data privacy; Diagnosis; Disease diagnosis; Federated learning; federated learning (FL); Heart; Heart diseases; Hospitals; Inference; Internet of medical things; Internet of Medical Things (IoMT); Internet of Things; Medical diagnosis; Medical diagnostic imaging; Privacy; privacy protection

The deep integration of the Internet of Things (IoT) and the medical industry has given birth to the Internet of Medical Things (IoMT). In IoMT, physicians treat a patient's disease by analyzing patient data collected through mobile devices with the assistance of an artificial intelligence (AI)...