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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

14 May 2023
Nicolò Dal Fabbro
A. Mitra
George J. Pappas
    FedML
ArXivPDFHTML

Papers citing "Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling"

10 / 10 papers shown
Title
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling
Feng Zhu
Aritra Mitra
Robert W. Heath
FedML
36
0
0
15 Apr 2025
On the Linear Speedup of Personalized Federated Reinforcement Learning
  with Shared Representations
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
Guojun Xiong
Shufan Wang
Daniel Jiang
Jian Li
FedML
73
1
0
22 Nov 2024
Towards Fast Rates for Federated and Multi-Task Reinforcement Learning
Towards Fast Rates for Federated and Multi-Task Reinforcement Learning
Feng Zhu
Robert W. Heath Jr.
Aritra Mitra
22
1
0
09 Sep 2024
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning
Finite-Time Analysis of Asynchronous Multi-Agent TD Learning
Nicolò Dal Fabbro
Arman Adibi
Aritra Mitra
George J. Pappas
22
1
0
29 Jul 2024
Compressed Federated Reinforcement Learning with a Generative Model
Compressed Federated Reinforcement Learning with a Generative Model
Ali Beikmohammadi
Sarit Khirirat
Sindri Magnússon
FedML
25
2
0
26 Mar 2024
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation
Nicolò Dal Fabbro
Arman Adibi
H. Vincent Poor
Sanjeev R. Kulkarni
A. Mitra
George J. Pappas
23
2
0
25 Mar 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under
  Markovian Sampling
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
Arman Adibi
Nicolò Dal Fabbro
Luca Schenato
Sanjeev R. Kulkarni
H. Vincent Poor
George J. Pappas
Hamed Hassani
A. Mitra
22
8
0
19 Feb 2024
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic
  Approximation and TD Learning
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
Paul Mangold
S. Samsonov
Safwan Labbi
I. Levin
Réda Alami
Alexey Naumov
Eric Moulines
22
1
0
06 Feb 2024
Linear Convergence in Federated Learning: Tackling Client Heterogeneity
  and Sparse Gradients
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
A. Mitra
Rayana H. Jaafar
George J. Pappas
Hamed Hassani
FedML
55
157
0
14 Feb 2021
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
157
756
0
28 Sep 2019
1