Collaborative Edge Caching: a Meta Reinforcement Learning Approach with Edge Sampling
Author:
Affiliation:
1. Tsinghua University,Tsinghua Shenzhen International Graduate School,Shenzhen,China
2. City University of Hong Kong,Department of Computer Science,Hong Kong,China
3. Tsinghua University,Tsinghua-Berkeley Shenzhen Institute,Shenzhen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219761.pdf?arnumber=10219761
Reference15 articles.
1. Learning to Cache With No Regrets
2. Continuous adaptation via meta-learning in nonstationary and competitive environments;al-shedivat;International Conference on Learning Representations,2018
3. Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
4. Caching in dynamic environments: A near-optimal online learning approach;zhou;IEEE Transactions on Multimedia,2021
5. Single vs Distributed Edge Caching for Dynamic Content
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