High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks
Federated edge learning (FEEL) technology for vehicular networks is considered as a
promising technology to reduce the computation workload while keeping the privacy of …
promising technology to reduce the computation workload while keeping the privacy of …
High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks
Q Wu, X Wang, Q Fan, P Fan, C Zhang, Z Li - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Federated edge learning (FEEL) technology for vehicular networks is considered as a
promising technology to reduce the computation workload while keeping the privacy of …
promising technology to reduce the computation workload while keeping the privacy of …
High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks
Q Wu, X Wang, Q Fan, P Fan, C Zhang, Z Li - arXiv preprint arXiv …, 2022 - arxiv.org
Federated edge learning (FEEL) technology for vehicular networks is considered as a
promising technology to reduce the computation workload while keeping the privacy of …
promising technology to reduce the computation workload while keeping the privacy of …