Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access (Journal Article) | NSF PAGES

skip to main content

Citation Details

This content will become publicly available on January 10, 2024

Federated Multi-Agent Deep Reinforcement Learning (Fed-MADRL) for Dynamic Spectrum Access

Authors:: Chang, Hao-Hsuan; Song, Yifei; Doan, Thinh T.; Liu, Lingjia

Award ID(s):: 1811720 1811497

Publication Date:: 2023-01-10

NSF-PAR ID:: 10394408

Journal Name:: IEEE Transactions on Wireless Communications

Page Range or eLocation-ID:: 1 to 1

ISSN:: 1536-1276

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
This content will become publicly available on January 10, 2024
Publisher's Version of Record
https://doi.org/10.1109/TWC.2022.3233436