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

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

doi:10.3233/SHTI210216

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

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

Authors

Arshad Farhad

Sandra I. Woolley

Prof Peter Andras P.Andras@napier.ac.uk
Dean of School of Computing Engineering and the Built Environment

Contributors

John Mantas
Editor

L?cr?mioara Stoicu-Tivadar
Editor

Catherine Chronaki
Editor

Arie Hasman
Editor

Patrick Weber
Editor

Parisis Gallos
Editor

Mihaela Cri?an-Vida
Editor

Emmanouil Zoulias
Editor

Oana Sorina Chirila
Editor

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.

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

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Publisher Licence URL
http://creativecommons.org/licenses/by-nc/4.0/

Copyright Statement
This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0)