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Federated Deep Reinforcement Learning for the Distributed Control of
  NextG Wireless Networks

Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks

7 December 2021
Peyman Tehrani
Francesco Restuccia
Marco Levorato
    OffRL
ArXivPDFHTML

Papers citing "Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless Networks"

5 / 5 papers shown
Title
Federated Learning for Industrial Internet of Things in Future
  Industries
Federated Learning for Industrial Internet of Things in Future Industries
Dinh C. Nguyen
Ming Ding
P. Pathirana
A. Seneviratne
Jun Li
Dusit Niyato
H. Vincent Poor
FedML
AI4CE
69
70
0
31 May 2021
Deep Actor-Critic Learning for Distributed Power Control in Wireless
  Mobile Networks
Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks
Yasar Sinan Nasir
Dongning Guo
25
23
0
14 Sep 2020
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in
  Wireless Networks
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks
Yasar Sinan Nasir
Dongning Guo
44
466
0
01 Aug 2018
Federated Control with Hierarchical Multi-Agent Deep Reinforcement
  Learning
Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning
Saurabh Kumar
Pararth Shah
Dilek Z. Hakkani-Tür
Larry Heck
AI4CE
27
34
0
22 Dec 2017
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
375
17,399
0
17 Feb 2016
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