Vehicular Data includes different facts and measurements made over a set of moving
vehicles. Most of us use cars or public transportation for our work commute, daily routines …

Supported by some of the major revolutionary technologies, such as Internet of Vehicles
(IoVs), Edge Computing, and Machine Learning (ML), the traditional Vehicular Networks …

Guaranteeing precise perception for au-tonomous driving systems in diverse driving
conditions requires continuous improvement and training of the perception models. In …

In an Internet of Vehicle (IoV) system, federated learning (FL) is a new approach to process
real-time vehicle data in a distributed way, which can improve the driving experience and …

Federated Learning (FL) is expected to play a prominent role for privacy-preserving machine
learning (ML) in autonomous vehicles. FL involves the collaborative training of a single ML …

In the current era of the Internet of Vehicles (IoV), vehicle to vehicle data sharing can provide
customized applications for Connected and Autonomous Vehicles (CAVs). The …

Emerging automotive networks should make the automotive work more secure, greener, and
more efficient, and clear the way for autonomous driving to the arrival of the 5G cell. Various …

The next generation of wireless networks will feature an increasing number of connected
devices, which will produce an unprecedented volume of data. Knowledge extraction from …

The advancements in vehicular networks and applications brings about a huge demand for
vehicles to process computation-intensive tasks such as machine learning (ML) algorithms …

ABSTRACT The Internet of Vehicles (IoV) is an interactive network providing intelligent traffic
management, intelligent dynamic information service, and intelligent vehicle control to …