URLLC resource slicing and scheduling for trustworthy 6G vehicular services: A federated reinforcement learning approach

标题
URLLC resource slicing and scheduling for trustworthy 6G vehicular services: A federated reinforcement learning approach
作者
关键词
6G, Vehicular edge computing, Resource slicing, Federated learning, Zero trust architecture
出版物
Physical Communication
Volume 49, Issue -, Pages 101470
出版商
Elsevier BV
发表日期
2021-10-01
DOI
10.1016/j.phycom.2021.101470

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