… 文献[84]提出了一种车辆雾计算 (vehicular fog computing,VFC)中的V2V … federated deep
reinforcement learning-based URLLC-aware computation offloading in space-assisted vehicular …

… “Deep federated q-learning-based network slicing for industrial iot,” IEEE Transactions …
balancer based on deep learning for vehicular network traffic control,” IEEE Internet …

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

… 摘要: 分层联邦学习(hierarchical federated learning, HFL) 旨在通过多层架构的协作学习, 同时
… 智能体深度强化学 习(multi-agent deep reinforcement learning, MADRL) 方法逐渐接近斯塔克…

… has been applied in federated learning in many scenarios … model for blockchain-enabled
federated learning based on a … -enabled federated learning in fog computing. IEEE Internet …

… two allocation approaches that guarantee to satisfy vehicle … [13] investigated federated
learning that classifies images and … learning-based algorithm to solve the offloading scheduling …

… Adaptive learning-based task offloading for vehicular edge computing systems[J]. IEEE …
Asynchronous federated learning based mobility-aware caching in vehicular edge computing[J]. …

… and resource scheduling of fog computing were discussed, … of task scheduling and image
placement in fog computing … Online learning-based server provisioning for electricity cost …

… in federated edge computing using actor-critic reinforcement … DMRO: A deep meta
reinforcement learning-based task … Optimized task scheduling on fog computing environment …

… Federated learning for energy鄄efficient task computing in wireless networks [ C ] 椅2020
IEEE … 鄄driven computational resource allocation of federated learning by deep reinforcement …