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[8] Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning 作者：Wu Q, Zhao Y, Fan Q, et al. 出处：IEEE Journal of Selected Topics in Signal Processing, 2023 摘要：车载边缘计算(VEC)可以在路边单元(RSU)中学习和缓存最受车载用户(VU)欢迎的内容，以支持实时车载应用。联邦学习(FL)可以通过共享车辆的本地模型而不是数据来保护VU的隐私。在传统的FL中，全局模型通过聚合所有车辆的本地模型来定期更新