In Internet of Vehicles (IoV), data sharing among vehicles for collaborative analysis can
improve the driving experience and service quality. However, the bandwidth, security and …

Internet of Vehicles (IoVs) is highly characterized by collaborative environment data sensing,
computing and processing. Emerging Big Data and Artificial Intelligence (AI) technologies …

The advances in today's IoT devices and machine learning methods have given rise to the
concept of Federated Learning. Through such a technique, a plethora of network devices …

The accuracy of the ML model is essential for the further development of AI-enabled CAVs.
With the increasing complexity of on-board sensor systems, the large amount of raw data …

The application of artificial intelligence technology in Internet of Vehicles (IoV) has attracted
great research interests with the goal of enabling smart transportation and traffic …

The conventional architecture of vehicular ad hoc networks (VANETs) with a centralized
approach has difficulty overcoming the increasing complexity of intelligent transportation …

In this paper, we propose an autonomous blockchain-based federated learning (BFL)
design for privacy-aware and efficient vehicular communication networking, where local on …

The rapid increase in the volume of data generated from connected devices in industrial
Internet of Things paradigm, opens up new possibilities for enhancing the quality of service …

The drastically increasing volume and the growing trend on the types of data have brought
in the possibility of realizing advanced applications such as enhanced driving safety, and …

In disaster areas, a large amount of data (eg, rescue commands, road damage, and rescue
experience) should be delivered among ground rescuing vehicles for safe driving and …