… problem, we adopt a novel machine learning method, ie, Data Aggregation, to learn
optimal pruning policy, which achieves outstanding learning performance with a few training …

… vehicles that are situated in the Internet of Vehicles environment. We propose an intrusion
detection system based on machine learning … steps of the machine learning process: (i) data …

… machine learning can no longer meet the application requirements of the Internet of Vehicles
(IoV). … The current common federated learning or incremental learning frameworks cannot …

… |INVITED PAPER| This article reveals the potential to apply advanced machine learning into
vehicular communications and networking. It provides a survey on various machine learning …

… We discuss several types of machine learning techniques in IoV such as supervised, … , and
deep learning. We provide few detailed applications of machine learning techniques in IoV. …

… Internet of Vehicles (IoV) consists of smart vehicles equipped with sensors and onboard
processors which are wirelessly connected to other vehicles, … by incorporating Internet of Things (…

… lead to the emergence of the Internet of Behavior (IoB) [11, 15… In other words, the Internet of
Behaviors is the combination of … [34] used artificial intelligence and machine learning to study …

… overheads of vehicles acceptable. In this paper, we present a distributed machine learning
framework with a two-layered architecture. The architecture uniquely involves vehicle clusters…

… also increase their vulnerabilities to cyber-attacks targeting both intra-vehicle … machine
learning methods to detect malicious cyberattacks. In this paper, the vulnerabilities of intra-vehicle …

… algorithm based on machine learning—MORAML, which intends to solve the problems of
low message delivery rate and high forwarding cost in the current Internet of Vehicles. The …