Multiple organizations in social manufacturing can collaborate on high-quality product defect
detection with social networks. Federated learning (FL) is an emerging paradigm where …

The development of Unmanned Aerial Vehicles (UAVs) offers new prospects for emerging
applications in the Industrial Internet of Things (IIoT) networks. With the assistance of Digital …

For healthcare datasets, it is often impossible to combine data samples from multiple sites
due to ethical, privacy, or logistical concerns. Federated learning allows for the utilization of …

Heart disease is a leading global cause of death, while federated learning (FL) is an
effective way to predict it. Due to patient privacy concerns and the centralized nature of …

In recent times, there has been a notable rise in the utilization of Internet of Medical Things
(IoMT) frameworks particularly those based on edge computing, to enhance remote …

This article examines the impact of utilizing generative artificial intelligence optimizations in
automating the content generation process. This instance involves the identification of …

In recent years, the epidemic of communicable diseases has boosted the prevalence of
online teaching activities. But how to make smart evaluation towards teaching effect has …

With the development of urban rail transit (URT), many latency-sensitive and
computationally intensive tasks arise. Edge computing can provide low-latency computing …

The utilization of intelligent computing in digital teaching quality evaluation has been a
practical demand in smart cities. Currently, related research works can be categorized into …

Distributed learning empowers social media platforms to handle massive data for image
sentiment classification and deliver intelligent services. However, with the increase of …