The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of
Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware …

Driven by the demand of time-sensitive and data-intensive applications, edge computing
has attracted wide attention as one of the cornerstones of modern service architectures. An …

In this era of the Internet of Everything (IoE), edge computing has emerged as the critical
enabling technology to solve a series of issues caused by an increasing amount of …

The individual and integration use of the Internet of Things (IoT), Information-Centric
Networking (ICN), and Federated Learning (FL) have recently been used in several network …

The finance-level Artificial Intelligence of Things (AIoT) is going to become a novel media in
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …

Abstract Vehicular Edge Computing (VEC) supports latency-sensitive and computation-
intensive vehicular applications by providing caching and computing services in vehicle …

Computed tomography image (CTI) sequence is essentially a time‐series data that typically
consists of a large amount of nearby and similar CTIs. Due to the high communication and …

Using the powerful communication capability of 6G, various in-vehicle services in the
Internet of Vehicles (IoV) can be offered with low delay, which provide users with a high …

With the development of a global economy, distributed manufacturing becomes common in
the industrial field. The Distributed Job-shop Scheduling Problem (DJSP), which is …

Vehicular Edge Computing (VEC) enables task offloading from vehicles to the edge servers
deployed on Road Side Units (RSUs), thus enhancing the task processing performance of …