The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …

In this paper, we aim to make the best joint decision of device selection and computing and
spectrum resource allocation for optimizing federated learning (FL) performance in …

The federated distillation (FD) paradigm has been recently proposed as a promising
alternative to federated learning (FL), especially in wireless sensor networks with limited …

在基于联邦学习的智能驾驶中, 智能网联汽车(ICV) 的资源限制和可能出现的设备故障会导致
联邦学习训练精度下降, 时延和能耗增加等问题. 为此该文提出数字孪生辅助联邦学习中的边缘 …

Autonomes Fahren ist seit einigen Jahren ein komplexes und aktives Forschungsfeld.
Ständig wechselnde Umweltbedingungen im gemischten Straßenverkehr stellen für die …

In intelligent driving based on federated learning, the resource constraints of Intelligent
Connected Vehicle (ICV) and possible device failures will lead to the decrease of the …