| 2025 | AISTATS | Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents. | Safwan Labbi, Daniil Tiapkin, Lorenzo Mancini, Paul Mangold, Eric Moulines |
| 2025 | AISTATS | Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation. | Paul Mangold, Alain Oliviero Durmus, Aymeric Dieuleveut, Sergey Samsonov, Eric Moulines |
| 2025 | ICML | Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up. | Paul Mangold, Alain Oliviero Durmus, Aymeric Dieuleveut, Eric Moulines |
| 2024 | AISTATS | The Relative Gaussian Mechanism and its Application to Private Gradient Descent. | Hadrien Hendrikx, Paul Mangold, Aurlien Bellet |
| 2023 | AISTATS | High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent. | Paul Mangold, Aurlien Bellet, Joseph Salmon, Marc Tommasi |
| 2023 | ICML | Differential Privacy has Bounded Impact on Fairness in Classification. | Paul Mangold, Michal Perrot, Aurlien Bellet, Marc Tommasi |
| 2022 | ICML | Differentially Private Coordinate Descent for Composite Empirical Risk Minimization. | Paul Mangold, Aurlien Bellet, Joseph Salmon, Marc Tommasi |