Vono, Maxime

7 publications

AISTATS 2025 Distribution-Aware Mean Estimation Under User-Level Local Differential Privacy Corentin Pla, Maxime Vono, Hugo Richard

NeurIPS 2024 DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation Felipe Garrido-Lucero, Benjamin Heymann, Maxime Vono, Patrick Loiseau, Vianney Perchet

TMLR 2024 Personalised Federated Learning on Heterogeneous Feature Spaces Alain Rakotomamonjy, Maxime Vono, Hamlet Jesse Medina Ruiz, Liva Ralaivola

AISTATS 2022 QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning Maxime Vono, Vincent Plassier, Alain Durmus, Aymeric Dieuleveut, Eric Moulines

JMLR 2022 Efficient MCMC Sampling with Dimension-Free Convergence Rate Using ADMM-Type Splitting Maxime Vono, Daniel Paulin, Arnaud Doucet

NeurIPS 2022 FedPop: A Bayesian Approach for Personalised Federated Learning Nikita Kotelevskii, Maxime Vono, Alain Durmus, Eric Moulines

ICML 2021 DG-LMC: A Turn-Key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo Within Gibbs Vincent Plassier, Maxime Vono, Alain Durmus, Eric Moulines