A distributed incentive mechanism to balance demand and communication overhead for multiple federated learning tasks in IoV
Federated Learning (FL), as a typical distributed machine learning framework, has been
effectively applied to traffic flow optimization, driving behavior analysis, and other areas …
effectively applied to traffic flow optimization, driving behavior analysis, and other areas …
[HTML][HTML] 6G edge-networks and multi-UAV knowledge fusion for urban autonomous vehicles
The advent of 6G wireless networks has the potential to unlock diverse applications of
scalable autonomy. By advantageously coupling the individual and aggregated attributes of …
scalable autonomy. By advantageously coupling the individual and aggregated attributes of …
A Customized Genetic Algorithm for SLA-Aware Service Provisioning in Infrastructure-less Vehicular Cloud Networks
Vehicular Ad-hoc Networks (VANETs) and in-vehicle networks offer complementary
perspectives on Intelligent Transportation Systems (ITS), enabling communication between …
perspectives on Intelligent Transportation Systems (ITS), enabling communication between …