Publications

[5] In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting.  
C. Philippenko, K. Scaman; L. Massoulié
Arxiv Preprint, 2024   PDF   Code  

[4] Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning.
C. Philippenko, A. Dieuleveut
Arxiv Preprint, 2023   PDF   Code  

[3] FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
J. Ogier du Terrail, […] C. Philippenko, […] M. Andreux
Accepted at NeurIPS Dataset 2022
Arxiv Preprint, 2022   PDF   Code  

[2] Preserved central model for faster bidirectional compression in distributed settings.
C. Philippenko, A. Dieuleveut
Accepted at NeurIPS 2021
Arxiv Preprint, 2021   PDF   Code

[1] Artemis: tight convergence guarantees for bidirectional compression in federated learning.
C. Philippenko, A. Dieuleveut
Arxiv Preprint, 2020   PDF   Code