A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things

Farhad, Arshad; Woolley, Sandra I.; Andras, Peter

Abstract

This paper presents a scoping review of federated learning for the Internet of Medical Things (IoMT) and demonstrates the limited amount of research work in an area which has potential to improve patient care. Federated Learning and IoMT – as standalone technologies – have already proved to be highly disruptive but there is a need for further research to apply federated learning to the IoMT.

Citation

Farhad, A., Woolley, S. I., & Andras, P. (2021). A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things. In J. Mantas, L. Stoicu-Tivadar, C. Chronaki, A. Hasman, P. Weber, P. Gallos, M. Crişan-Vida, E. Zoulias, & O. Sorina Chirila (Eds.), Public Health and Informatics (504-505). IOS Press. https://doi.org/10.3233/SHTI210216

• Publication Date: 2021
• Deposit Date: Nov 2, 2021
• Publicly Available Date: Nov 2, 2021
• Publisher: IOS Press
• Pages: 504-505
• Series Title: Studies in Health Technology and Informatics
• Series Number: 281
• Series ISSN: 0926-9630
• Book Title: Public Health and Informatics
• ISBN: 978-1-64368-184-9
• DOI: https://doi.org/10.3233/SHTI210216
• Keywords: Federated Learning; Internet of Medical Things; IoMT
• Public URL: http://researchrepository.napier.ac.uk/Output/2809328