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Constantin Philippenko
Constantin Philippenko
Post-doctoral researcher, Inria Paris, DI ENS
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
Flamby: Datasets and benchmarks for cross-silo federated learning in realistic healthcare settings
J Ogier du Terrail, SS Ayed, E Cyffers, F Grimberg, C He, R Loeb, ...
Advances in Neural Information Processing Systems 35, 5315-5334, 2022
1352022
Bidirectional compression in heterogeneous settings for distributed or federated learning with partial participation: tight convergence guarantees
C Philippenko, A Dieuleveut
arXiv preprint arXiv:2006.14591, 2020
91*2020
Preserved central model for faster bidirectional compression in distributed settings
C Philippenko, A Dieuleveut
Advances in Neural Information Processing Systems 34, 2387-2399, 2021
402021
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
C Philippenko, K Scaman, L Massoulié
arXiv preprint arXiv:2409.08771, 2024
2024
Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning
C Philippenko, A Dieuleveut
Journal of Machine Learning Research 25 (288), 1-80, 2024
2024
Bidirectional compression for Federated Learning in a heterogeneous setting
C Philippenko
Institut polytechnique de Paris, 2023
2023
Compression bidirectionnelle pour l'apprentissage fédéré hétérogène
C Philippenko
Institut Polytechnique de Paris, 2023
2023
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