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Aymeric Dieuleveut

CMAP

Byzantine-Robust Gossip: Insights from a Dual Approach

May 06, 2024
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Random features models: a way to study the success of naive imputation

Feb 06, 2024
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Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates

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Feb 02, 2024
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Compression with Exact Error Distribution for Federated Learning

Oct 31, 2023
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Proving Linear Mode Connectivity of Neural Networks via Optimal Transport

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Oct 29, 2023
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Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning

Aug 02, 2023
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Conformal Prediction with Missing Values

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Jun 05, 2023
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Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning

Feb 22, 2023
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FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings

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Oct 10, 2022
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Adaptive Conformal Predictions for Time Series

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Feb 15, 2022
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