Farhad, A, Woolley, SI ORCID: https://orcid.org/0000-0002-7623-2866 and Andras, P ORCID: https://orcid.org/0000-0002-9321-3296 (2021) A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things. Studies in Health Technology and Informatics, 281. 504 - 505.

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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.

Item Type: Article
Additional Information: © 2021 European Federation for Medical Informatics (EFMI) and IOS Press. 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)
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Natural Sciences > School of Computing and Mathematics
Related URLs:
Depositing User: Symplectic
Date Deposited: 08 Jun 2021 14:47
Last Modified: 08 Jun 2021 14:47
URI: https://eprints.keele.ac.uk/id/eprint/9685

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