SS Shinde, D Tarchi - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
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 …
F Liang, Q Yang, R Liu, J Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …
A Taik, Z Mlika, S Cherkaoui - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
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 …
MS Bute, P Fan, Q Luo - 2023 IEEE 98th Vehicular Technology …, 2023 - ieeexplore.ieee.org
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 …