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Federated Averaging Langevin Dynamics: Toward a unified theory and new
  algorithms

Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms

International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
31 October 2022
Vincent Plassier
Alain Durmus
Eric Moulines
    FedML
ArXiv (abs)PDFHTML

Papers citing "Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms"

3 / 3 papers shown
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and
  Theory
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory
Jiajun Liang
Qian Zhang
Wei Deng
Qifan Song
Guang Lin
167
4
0
09 Jul 2024
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional
  Compression
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional CompressionConference on Uncertainty in Artificial Intelligence (UAI), 2023
Avetik G. Karagulyan
Peter Richtárik
FedML
254
6
0
08 Mar 2023
On Convergence of Federated Averaging Langevin Dynamics
On Convergence of Federated Averaging Langevin Dynamics
Wei Deng
Qian Zhang
Yi-An Ma
Zhao Song
Guang Lin
FedML
390
18
0
09 Dec 2021
1