Smart cities demand resources for rich immersive sensing, ubiquitous communications,
powerful computing, large storage, and high intelligence (SCCSI) to support various kinds of …

In this article, we propose a novel federated learning (FL) framework for wireless Internet of
Medical Things (IoMT) based healthcare systems, where multiple mobile clients and one …

Multi-access edge computing (MEC) is a promising solution to supporting resource-intensive
applications on mobile devices (MDs), which enables computation offloading from MDs to …

Computation task offloading plays a crucial role in facilitating computation-intensive
applications and edge intelligence, particularly in response to the explosive growth of …

In the digital divide regions, the edge computing can improve the performance of application
services for the Internet of Things (IoT) devices. However, the lagging of information and …

The rapid development of edge computing provides low latency for computation-intensive
application in Internet of Vehicles. The unmanned aerial vehicles (UAVs) with computation …

The incorporation of end devices in the edge-to-cloud continuum yields substantial benefits
to conventional cloud computing frameworks, expediting communication between end …

The rapid development of Internet of Things (IoT) technologies has led to increasingly
complex software systems on Terminal Devices (TDs). This increases the computational …

The current society is becoming increasingly interconnected and hyper-connected.
Communication networks are advancing, as well as logistics networks, or even networks for …

Unmanned aerial vehicles (UAVs) have emerged as a promising solution to establish links
to reach edge servers (ESs) in scenarios where ground users (GUs) lack direct connections …