Mangold, Paul

9 publications

AISTATS 2025 Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents Safwan Labbi, Daniil Tiapkin, Lorenzo Mancini, Paul Mangold, Eric Moulines

AISTATS 2025 Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation Paul Mangold, Alain Oliviero Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines

ICML 2025 Scaffold with Stochastic Gradients: New Analysis with Linear Speed-up Paul Mangold, Alain Oliviero Durmus, Aymeric Dieuleveut, Eric Moulines

NeurIPS 2024 SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Reda Alami, Alexey Naumov, Eric Moulines

AISTATS 2024 The Relative Gaussian Mechanism and Its Application to Private Gradient Descent Hadrien Hendrikx, Paul Mangold, Aurélien Bellet

ICML 2023 Differential Privacy Has Bounded Impact on Fairness in Classification Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi

AISTATS 2023 High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi

ICML 2022 Differentially Private Coordinate Descent for Composite Empirical Risk Minimization Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi

NeurIPS 2022 FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Teleńczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux