Efficient Federated DRL-Based Cooperative Caching for Mobile Edge Networks-Reference-Cited by-同舟云学术

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Efficient Federated DRL-Based Cooperative Caching for Mobile Edge Networks

Published:2023-03 Issue:1 Volume:20 Page:246-260
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Tian Aleteng¹,Feng Bohao¹^ORCID,Zhou Huachun¹,Huang Yunxue¹,Sood Keshav²^ORCID,Yu Shui³^ORCID,Zhang Hongke¹^ORCID

Affiliation:

1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China

2. School of Information Technology, Deakin University, Geelong, VIC, Australia

3. School of Software, University of Technology Sydney, Ultimo, NSW, Australia

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Open Research Projects of Zhejiang Lab

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/10065607/09854908.pdf?arnumber=9854908

Reference52 articles.

1. Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

2. Artificial Intelligence for Wireless Caching: Schemes, Performance, and Challenges

3. Deep Reinforcement Learning for Mobile Edge Caching: Review, New Features, and Open Issues

4. Enabling Machine Learning with Service Function Chaining for Security Enhancement at 5G Edges

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1. Innovative edge caching: A multi-agent deep reinforcement learning approach for cooperative replacement strategies;Computer Networks;2024-11

2. Towards Intelligent Adaptive Edge Caching Using Deep Reinforcement Learning;IEEE Transactions on Mobile Computing;2024-10

3. Social-Aware Collaborative Caching in Edge-User Networks: A Joint Multi-Graph Approach;IEEE Transactions on Network Science and Engineering;2024-09

4. Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Networks;IEEE Transactions on Network and Service Management;2024-08

5. Deep Reinforcement Learning-Based Multipath Routing for LEO Megaconstellation Networks;Electronics;2024-08-01

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