As Vehicular Ad-hoc Networks (VANETs) bring fantastic revolution to intelligent
transportation systems, their own security has become an important research topic …

With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer
satisfactory services for latency‐sensitive and real‐time applications due to high latency and …

Nowadays, with the purpose of fulfilling the increasing demands for emerging extensive and
ubiquitous accessibility to modern intelligent transportation systems (ITS), the conventional …

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 has gained extensive interest in recent years owing to its ability to
update model parameters without obtaining raw data from users, which makes it a viable …

Conventional federated learning (FL) approaches generally rely on a centralized server, and
there has been a trend of designing asynchronous FL approaches for distributed …

The main advantage of Vehicular Adhoc Networks being an inherent part of Intelligent
Transportation Systems is to ensure the safety and comfort of commuters on the roads. In …

Both security and privacy are central issues and need to be properly handled because
communications are shared among vehicles in open channel environments of 5G-enabled …

The rapid growth of Vehicular Ad-hoc Networks (VANET), fueled by advancements in the
Internet-of-Things, cloud computing, Intelligent Transportation Systems, and fog computing …

Federated learning (FL) when deployed in an Internet of Things (IoT) ecosystem can
facilitate the collaborative training of a global model involving different IoT local systems …