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Federated Stochastic Gradient Langevin Dynamics

Federated Stochastic Gradient Langevin Dynamics

23 April 2020
Khaoula El Mekkaoui
Diego Mesquita
P. Blomstedt
Samuel Kaski
    FedML
ArXivPDFHTML

Papers citing "Federated Stochastic Gradient Langevin Dynamics"

6 / 6 papers shown
Title
Embarrassingly Parallel GFlowNets
Embarrassingly Parallel GFlowNets
Tiago da Silva
Luiz Max Carvalho
Amauri Souza
Samuel Kaski
Diego Mesquita
42
1
0
05 Jun 2024
Machine Learning and the Future of Bayesian Computation
Machine Learning and the Future of Bayesian Computation
Steven Winter
Trevor Campbell
Lizhen Lin
Sanvesh Srivastava
David B. Dunson
TPM
33
4
0
21 Apr 2023
Federated Averaging Langevin Dynamics: Toward a unified theory and new
  algorithms
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms
Vincent Plassier
Alain Durmus
Eric Moulines
FedML
14
6
0
31 Oct 2022
On Convergence of Federated Averaging Langevin Dynamics
On Convergence of Federated Averaging Langevin Dynamics
Wei Deng
Qian Zhang
Yi-An Ma
Zhao-quan Song
Guang Lin
FedML
27
16
0
09 Dec 2021
On the Convergence of Stochastic Gradient MCMC Algorithms with
  High-Order Integrators
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen
Nan Ding
Lawrence Carin
32
158
0
21 Oct 2016
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
1