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Aymeric Dieuleveut

CMAP

Refined Analysis of Federated Averaging's Bias and Federated Richardson-Romberg Extrapolation

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Dec 02, 2024
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Achieving Optimal Breakdown for Byzantine Robust Gossip

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Oct 14, 2024
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Byzantine-Robust Gossip: Insights from a Dual Approach

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

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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

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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

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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

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Feb 22, 2023
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