The computing demand for massive applications has led to the ubiquitous deployment of
computing power. This trend results in the urgent need for higher-level computing resource …

With the growth of real-time and latency-sensitive applications in the Internet of Everything
(IoE), service placement cannot rely on cloud computing alone. In response to this need …

The surging of deep learning brings new vigor and vitality to shape the prospect of intelligent
Internet of Things (IoT), and the rise of edge intelligence enables provisioning real-time …

With the rapid growth of the Industrial Internet of Things, a large amount of industrial data
that needs to be processed promptly. Edge computing-based computation offloading can …

The convergence of Edge Computing (EC) and Machine Learning (ML), known as Edge
Machine Learning (EML), has become a highly regarded research area by utilizing …

The Artificial Intelligence of Things (AIoT) is an emerging technology that enables numerous
AIoT devices to participate in big data analytics and machine learning (ML) model training …

Edge Computing provides an effective solution for relieving IoT devices from the burden of
handling Machine Learning (ML) tasks. Further, given the limited storage capacity of these …

As data-driven applications proliferate, satellite edge clouds (SEC) consisting of low-earth-
orbit (LEO) satellites have demonstrated great potentials to achieve global connectivity …

Abstract The Internet of Things (IoT), as an emerging technology that connects a wide range
of smart devices to the Internet, has significantly impacted our daily lives and will continue to …

Federated learning (FL) combined with mobile edge computing (FEEL) provides an end-to-
edge synergetic learning approach to allow end devices to participate in machine learning …