Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching

@article{Liu2022DistributedRL,
  title={Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching},
  author={Shengheng Liu and Chong Zheng and Yongming Huang and Tony Q. S. Quek},
  journal={IEEE Journal on Selected Areas in Communications},
  year={2022},
  volume={40},
  pages={749-760}
}
Mobile edge computing (MEC) is a prominent computing paradigm which expands the application fields of wireless communication. Due to the limitation of the capacities of user equipments and MEC servers, edge caching (EC) optimization is crucial to the effective utilization of the caching resources in MEC-enabled wireless networks. However, the dynamics and complexities of content popularities over space and time as well as the privacy preservation of users pose significant challenges to EC… 

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