The development of machine learning and artificial intelligence algorithms, as well as the
progress of unmanned aerial vehicle swarm technology, has significantly enhanced the …

The integration of fog computing in vehicular networks has led to significant advancements
in road safety, traffic control, entertainment, and comfort services. Vehicular Fog Computing …

In the era of 5G-Advanced and 6 G, decentralized machine learning algorithms, particular
federated learning (FL), has become a critical enabling technology for future Internet of …

The primary objective of fog computing is to minimize the reliance of IoT devices on the
cloud by leveraging the resources of fog network. Typically, IoT devices offload computation …

Vehicular fog computing (VFC), as the extension of the mobile cloud, has been widely
investigated. However, in most existing VFC works, the scenario with point-of-interests (PoIs) …

This paper investigates cooperative data uploading and task offloading in heterogeneous
Internet of Vehicles (IoV). Specifically, considering the characteristics that different tasks may …

Fog computing has become an attractive computing method for different IoT (Internet of
Things) applications that require low latency and location awareness. It provides low latency …