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Federated Reinforcement Learning: Techniques, Applications, and Open
  Challenges

Federated Reinforcement Learning: Techniques, Applications, and Open Challenges

26 August 2021
Jiaju Qi
Qihao Zhou
Lei Lei
Kan Zheng
    FedML
ArXivPDFHTML

Papers citing "Federated Reinforcement Learning: Techniques, Applications, and Open Challenges"

13 / 13 papers shown
Title
Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning
Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning
Ahmed Alagha
Jamal Bentahar
Hadi Otrok
Shakti Singh
R. Mizouni
51
3
0
19 Jan 2025
SwiftRL: Towards Efficient Reinforcement Learning on Real
  Processing-In-Memory Systems
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems
Kailash Gogineni
Sai Santosh Dayapule
Juan Gómez Luna
Karthikeya Gogineni
Peng Wei
Tian-Shing Lan
Mohammad Sadrosadati
Onur Mutlu
Guru Venkataramani
34
10
0
07 May 2024
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through
  Convergence-Aware Sampling with Screening
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening
Hei Yi Mak
Flint Xiaofeng Fan
Luca A. Lanzendörfer
Cheston Tan
Wei Tsang Ooi
Roger Wattenhofer
FedML
14
2
0
29 Mar 2024
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup
  under Markovian Sampling
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling
Nicolò Dal Fabbro
A. Mitra
George J. Pappas
FedML
14
12
0
14 May 2023
Generalization of Deep Reinforcement Learning for Jammer-Resilient
  Frequency and Power Allocation
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation
Swatantra Kafle
Jithin Jagannath
Zackary Kane
Noor Biswas
P. Kumar
Anu Jagannath
13
1
0
04 Feb 2023
Decision Market Based Learning For Multi-agent Contextual Bandit
  Problems
Decision Market Based Learning For Multi-agent Contextual Bandit Problems
Wenlong Wang
T. Pfeiffer
9
1
0
01 Dec 2022
Decentralized Federated Reinforcement Learning for User-Centric Dynamic
  TFDD Control
Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control
Ziyan Yin
Zhe Wang
Jun Li
Ming Ding
Wen Chen
Shi Jin
28
13
0
04 Nov 2022
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging
  and Discharging Control
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control
Zixuan Zhang
Yuning Jiang
Yuanming Shi
Ye Shi
Wei Chen
39
13
0
04 Oct 2022
AVDDPG: Federated reinforcement learning applied to autonomous platoon
  control
AVDDPG: Federated reinforcement learning applied to autonomous platoon control
Christian Boin
Lei Lei
Simon X. Yang
14
3
0
05 Jul 2022
Linear Stochastic Bandits over a Bit-Constrained Channel
Linear Stochastic Bandits over a Bit-Constrained Channel
A. Mitra
Hamed Hassani
George J. Pappas
9
8
0
02 Mar 2022
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
186
427
0
04 Mar 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
136
1,663
0
14 Apr 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
109
592
0
28 Feb 2017
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