A simulation study of differentially private federated learning with zero-trust policy screening for medical IoT devices
Artificial intelligence is increasingly used in connected medical-device systems for physiological-signal classification and continuous monitoring. This paper presents a simulation study of the learning and policy layers of a zero-trust federated-learning framework for Internet of Medical Things (IoMT) devices. The imp...
Ihssan S. Masad, Ali Mohammad Alqudah, Shoroq Qazan et al.
· Frontiers in Digital Health · 0 citations