On Convergence of Federated Averaging Langevin Dynamics

On Convergence of Federated Averaging Langevin Dynamics

9 December 2021

Papers citing "On Convergence of Federated Averaging Langevin Dynamics"

16 / 16 papers shown

Title
Bayesian Federated Learning for Continual Training Usevalad Milasheuski Luca Barbieri Sanaz Kianoush M. Nicoli S. Savazzi FedML 38 0 0 21 Apr 2025
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune Mengen Luo Chi Xu E. Kuruoglu FedML 25 0 0 25 Feb 2024
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers Alexandros E. Tzikas Licio Romao Mert Pilanci Alessandro Abate Mykel J. Kochenderfer 26 0 0 29 Jan 2024
D2NO: Efficient Handling of Heterogeneous Input Function Spaces with Distributed Deep Neural Operators Zecheng Zhang Christian Moya Lu Lu Guang Lin Hayden Schaeffer 24 11 0 29 Oct 2023
Towards Building the Federated GPT: Federated Instruction Tuning Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang Tong Yu Yufan Zhou Guoyin Wang Yiran Chen ALM FedML 35 108 0 09 May 2023
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference Wanrong Zhang Ruqi Zhang 8 4 0 10 Mar 2023
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression Avetik G. Karagulyan Peter Richtárik FedML 23 6 0 08 Mar 2023
A Convergence Theory for Federated Average: Beyond Smoothness Xiaoxiao Li Zhao-quan Song Runzhou Tao Guangyi Zhang FedML 30 5 0 03 Nov 2022
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms Vincent Plassier Alain Durmus Eric Moulines FedML 14 6 0 31 Oct 2022
FedPop: A Bayesian Approach for Personalised Federated Learning Nikita Kotelevskii Maxime Vono Eric Moulines Alain Durmus FedML 19 34 0 07 Jun 2022
Federated Learning with a Sampling Algorithm under Isoperimetry Lukang Sun Adil Salim Peter Richtárik FedML 10 7 0 02 Jun 2022
Interacting Contour Stochastic Gradient Langevin Dynamics Wei Deng Siqi Liang Botao Hao Guang Lin F. Liang BDL 26 10 0 20 Feb 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions Wei Deng Guang Lin F. Liang BDL 36 27 0 19 Oct 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,685 0 14 Apr 2018
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators Changyou Chen Nan Ding Lawrence Carin 32 158 0 21 Oct 2016