The Internet of Vehicles (IoV) aims to perceive, compute, and process environmental data in
a collaborative manner. Previous works focus on data sharing between vehicles, but a large …

The rapid increase of the data scale in Internet of Vehicles (IoV) system paradigm, hews out
new possibilities in boosting the service quality for the emerging applications through data …

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 6G communication technologies are expected to provide fast data rates and incessant
connectivity to heterogeneous networks, such as the Internet of Vehicles (IoV). However, the …

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 …

While the convergence of Artificial Intelligence (AI) techniques with improved information
technology systems ensured enormous benefits to the Internet of Vehicles (IoVs) systems, it …

Recently, Internet of Vehicles (IoV) and Machine Learning (ML) have attracted more and
more attention. Considering inefficient real-time training and high requirements on …

Federated learning (FL), as a distributed machine learning technology, allows large-scale
nodes to utilize local datasets for model training and sharing without revealing privacy …

Sixth generation (6G) vehicle-to-anything (V2X) networks support intelligent edge computing
that leverages data sensing, computation, and offloading among vehicular nodes (VN) with …