Keele University, Staffordshire, UK.
Stud Health Technol Inform. 2021 May 27;281:504-505. doi: 10.3233/SHTI210216.
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.
本文对面向医疗物联网(IoMT)的联邦学习进行了范围界定式回顾,并展示了在一个具有改善患者护理潜力的领域中,研究工作的有限数量。联邦学习和 IoMT——作为独立的技术——已经被证明具有高度的颠覆性,但需要进一步的研究将联邦学习应用于 IoMT。