Infectious diseases usually have the characteristics of rapid spread with a large impact
range. Once they break out, they will cause a large area of infection, which creates …

Internet of medical things (IoMT) aggregates a series of smart medical devices and fully uses
the collected health data to improve user experience, medical resource utilization, and full …

Despite the rapid growth and advancement in the Internet of Things (IoT), there are critical
challenges that need to be addressed before the full adoption of the IoT. Data privacy is one …

The present trend of automation anddata interchange in industrial technology is known as
Industry 4.0. Industry 4.0 is altering its next generation of distribution networks by making …

In recent times, several machine learning models have been built to aid in the prediction of
diverse diseases and to minimize diagnostic errors made by clinicians. However, since most …

The Internet of Medical Things (IoMT) has shown incredible development with the growth of
medical systems using wireless information technologies. Medical devices are biosensors …

With the prevalence of the Internet of Things (IoT) systems, smart cities comprise complex
networks, including sensors, actuators, appliances, and cyber services. The complexity and …

Federated learning has become prevalent in medical diagnosis due to its effectiveness in
training a federated model among multiple health institutions (ie, Data Islands (DIs)) …

In mobile healthcare networks (MHN), outsourced disease detection services demand the
privacy preservation of medical users and health service providers (health clouds). This …

Federated learning enables multiple participants to cooperatively train a model, where each
participant computes gradients on its data and a coordinator aggregates gradients from …