Internet of Things (IoT) refers to the collective networks of connected devices that simplify the communication between devices and clouds, as well as between the devices. IoT in the healthcare system is a fast-developing field and enables medical applications to access a large amount of healthcare data collected by IoT devices. Traditional learning models for IoT healthcare systems are unable to secure the privacy of health information.
The difficulty in handling the IoT healthcare system is due to the fragmented and private nature of healthcare data. Federated learning is the learning model that distributes the learning to edge devices or servers with high data privacy concerns. A Federated learning model for healthcare systems using IoT significantly reduces the computation and communication capability of edge devices. An intelligent IoT healthcare system is efficiently built using federated learning.