Aymeric Dieuleveut
24 papers · 2017–2025 · 4 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 42% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Aymeric Dieuleveut?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Eric Moulines, Martin Jaggi, Constantin Philippenko
10 papers
· 2019–2025
· AISTATS, NeurIPS, ICML
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Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation
AISTATS 2025
Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up
ICML 2025
Compressed and distributed least-squares regression: convergence rates with applications to federated learning
JMLR 2024
Differentially Private Federated Learning on Heterogeneous Data
AISTATS 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
NeurIPS 2022
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning
AISTATS 2022
Federated-EM with heterogeneity mitigation and variance reduction
NeurIPS 2021
Preserved central model for faster bidirectional compression in distributed settings
NeurIPS 2021
Context Mover’s Distance & Barycenters: Optimal Transport of Contexts for Building Representations
AISTATS 2020
Unsupervised Scalable Representation Learning for Multivariate Time Series
NeurIPS 2019