… processing has been a challenging issue in vehicular communication applications. … task
offloading and power control in vehicle networks based on UAVassisted mobile edge computing …

… carpooling using blockchain-assisted vehicular fog computing [J]. … Federated learning for
vehicular Internet of things: recent … Deep-reinforcementlearning-based mode selection and …

… edge computing by deep reinforcement learning based on … ing and resource allocation in
dynamic fog computing systems[J]. … Edge federation: towards an integrated service provisioning …

… then, the investigation of vehicle Networking and Autonomous … 卸载 (Deep Meta Reinforcement
Learning-based Offloading, … 此外, 联邦边缘学习(federated edge learning , FEEL) 是一种以…

… a Q-Learning based joint PC-5/Uu interface edge computing … On the design of federated
learning in latency and energy … aware task scheduling in vehicular edge computing[J]. IEEE …

… 计算(mobile edge computing, MEC),雾计算(fog computing, FC)… 常见的分布式 深度神经网络
框架有联邦学习(federated learning… A deep learning-based gait posture recognition from depth …

… Energy-efficient computation offloading and resource allocation in fog computing for in…
Deep reinforcement learning for offloading and resource allocation in vehicle edge computing …

… and 5G-Advanced networks to have stronger environmental sensing, computing, and
intelligence capabilities. To realize deep integration for autonomous driving in the IoV, the sensing …

… federated deep reinforcement learning-based URLLC-aware computation offloading in
space-assisted vehicular … Reliable task offloading for vehicular fog computing under information …

… Deep-reinforcementlearning-based offloading scheduling for vehicular edge computing[J]. …
Machine learning-based adaptive connection hybrid precoding for mmWave massive MIMO …