Multi-Agent Reinforcement Learning for Cooperative Coded Caching via Homotopy Optimization-Reference-Cited by-同舟云学术

Multi-Agent Reinforcement Learning for Cooperative Coded Caching via Homotopy Optimization

Published:2021-08 Issue:8 Volume:20 Page:5258-5272
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Wu Xiongwei^ORCID,Li Jun^ORCID,Xiao Ming^ORCID,Ching P. C.^ORCID,Poor H. Vincent^ORCID

Funder

U.S. National Science Foundation

EU Marie Sklodowska-Curie Actions Project entitled “High-reliability Low-latency Communications with Network Coding”

Swedish Foundation for International Cooperation in Research and Higher Education (STINT), project “Efficient and Secure Distributed Machine Learning with Gradient Descend”

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

https://ieeexplore.ieee.org/ielam/7693/9511548/9384286-aam.pdf

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