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

… 联邦学习 (Federated Learning,FL)作为一种新兴的学习机制, … Task scheduling in mobile
edge computing with stochastic … Learning-based computation offloading for IoT devices with …

… allocation strategy for mobile edge computing in vehicular … offloading and resource allocation
in fog computing for Internet of … edge computing by deep reinforcement learning based on …

… Finally, for the privacy preservation issue, a federated learning based privacy-preserving …
D2D, device to device),车辆与 车辆(V2V, vehicle to vehicle)之间的直接通信也将 是一种常态. …

… the service federation mechanism to make computational task … CATS: cost aware task
scheduling in multi-tier computing … learning-based task offloading algorithms for dynamic fog …

… challenges of federated learning in resource constrained scenarios. Thirdly, we conduct
a systematic and in-depth investigation into the current research status of federated learning, …

… task scheduling for computation offloading in vehicular cloud[… task scheduling strategy
utilizing mobile edge computing in … Robust resource allocation using edge computing for vehicle …

… DREAM: dynamic resource and task allocation for energy … An overview of fog computing and
its security issues[J]. Concurrency and … Follow me cloud: interworking federated clouds and …

… Through this work, we aim to contribute significantly to the advancement of the field and …
deeper into the intricacies of the system’s operations, we uncover the intricate computational …

… YAO Xiang, WU Panlong, CAO Hongjun, ZHU Yan 942 UAV Formation Collaborative
Search and Dynamic Task Allocation Method under Uncertain Environment ..........................................…