To balance the hydrogen consumption of fuel cell vehicle (FCV), the durability of the fuel cell
(FC), and the life of the power battery (PB) to further reduce the whole lifecycle costs of FCV …

Intelligent transportation systems (ITSs) have been fueled by the rapid development of
communication technologies, sensor technologies, and the Internet of Things (IoT) …

Sudden medical safety accidents or large-scale outbreaks of epidemics will lead to a surge
in traffic near hospitals and other medical infrastructure, and traditional edge base stations …

In vehicular ad-hoc networks (VANET), federated learning enables vehicles to
collaboratively train a global model for intelligent transportation without sharing their local …

Federated Learning (FL) is a transformative, distributive computational approach that
revolutionizes decision-making capabilities through decentralized data computation …

Vehicular edge computing (VEC) is a novel computing paradigm, which is designed to
satisfy the growing computation and communication needs of vehicle systems. With the …

As mobile devices are widely used and various applications emerge, users have higher
demands on data rates and computing power. Software Defined Network (SDN) can …

Aiming at the problems of low decentralization, low motivation for node voting, and malicious
behavior of nodes for the traditional DPoS consensus mechanism in the blockchain-based …

Federated learning can utilize the local resources of user devices for model training while
protecting their private security. Combining edge computing with federation learning can …

This paper discusses the challenges of mobile edge computing with low latency and energy
consumption caused by the explosive growth of communication traffic and data generated …