QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning

1 June 2021

Papers citing "QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning"

9 / 9 papers shown

Title
Distribution-Aware Mean Estimation under User-level Local Differential Privacy Corentin Pla Hugo Richard Maxime Vono FedML 39 0 0 12 Oct 2024
Embarrassingly Parallel GFlowNets Tiago da Silva Luiz Max Carvalho Amauri Souza Samuel Kaski Diego Mesquita 44 1 0 05 Jun 2024
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms Vincent Plassier Alain Durmus Eric Moulines FedML 21 6 0 31 Oct 2022
Membership Inference Attacks via Adversarial Examples Hamid Jalalzai Elie Kadoche Rémi Leluc Vincent Plassier AAML FedML MIACV 42 7 0 27 Jul 2022
Content Popularity Prediction Based on Quantized Federated Bayesian Learning in Fog Radio Access Networks Yu Tao Yanxiang Jiang F. Zheng Pengcheng Zhu Dusit Niyato X. You 36 6 0 23 Jun 2022
Parallel MCMC Without Embarrassing Failures Daniel Augusto R. M. A. de Souza Diego Mesquita Samuel Kaski Luigi Acerbi 42 11 0 22 Feb 2022
On Convergence of Federated Averaging Langevin Dynamics Wei Deng Qian Zhang Yi Ma Zhao Song Guang Lin FedML 30 16 0 09 Dec 2021
Forget-SVGD: Particle-Based Bayesian Federated Unlearning J. Gong Osvaldo Simeone Rahif Kassab Joonhyuk Kang FedML MU 19 23 0 23 Nov 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021