research
∙
08/03/2022
Asynchronous Federated Learning for Edge-assisted Vehicular Networks
Vehicular networks enable vehicles support real-time vehicular applicati...
share
research
∙
08/03/2022
High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks
Federated edge learning (FEEL) technology for vehicular networks is cons...
research
∙
08/02/2022
Towards V2I Age-aware Fairness Access: A DQN Based Intelligent Vehicular Node Training and Test Method
Vehicles on the road exchange data with base station (BS) frequently thr...
research
∙
08/02/2022
Asynchronous Federated Learning Based Mobility-aware Caching in Vehicular Edge Computing
Vehicular edge computing (VEC) is a promising technology to support real...
research
∙
08/02/2022
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning
The vehicular edge computing (VEC) can cache contents in different RSUs ...
research
∙
07/19/2018