… Federated learning is used to speed up and stabilize the convergence rate of each agent 's …
for LTE V2V communication systems[J]. IEEE Transactions on Wireless Communications,…

… network, blockchain and federal learning, blockchain-based … , massive ultra-reliable low
latency communication)和以人为… 异构蜂窝通信,面向车载应用的车联网通信以 及D2D/V2V 通信. …

… scheme combining federated learning and reinforced learning mechanisms. In this scheme,
a federated learning architecture … Federated Learning for Ultra- Reliable Low- Latency V2V …

… 文献[9]研究5G资源预留 模式下超可靠低延时(Ultra-Reliable Low-Latency Communication,
URLLC)… A joint learning and communications framework for federated learning over wireless …

… 成本,尤其是V2V 通信的资源分配,可以在每个V2V 链路设置… 授权的车辆网络(federated learning
and blockchain empowered … 时延通信(ultra-reliable and low-latency communication,URLLC)…

… ultra-reliable low latency communications (uRLLC), which guarantees reliability within a
constrained latency, and (3) massive machine-type communications … low latency communication …

… : As an emerging distributed machine learning architecture, federated learning (FL) … learning
for ultra-reliable low-latency V2V commu⁃ nications[C]//2018 IEEE Global Communications …

… reinforcement learning for ultra-reliable and low-latency IoV … learning based resource allocation
for V2V communications[J]… management based on federal deep reinforcement learning[J]…

… of the endogenous integration of communication, sensing, and computing for autonomous
driving in the IoV. First, the current research progress in integrating communication, sensing, …

… 目前,V2X 主要基于专用短程通信(DSRC, dedicated short range communication)和蜂窝网络
[5]. 其中DSRC 是一种专门用于车辆与车辆(V2V, vehicle-to-vehicle)和车辆与道路基础设施(V2I, …