Constantin Philippenko

According to our database, Constantin Philippenko authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting.

Constantin Philippenko, Kevin Scaman, Laurent Massoulié

CoRR, 2024

2023

Compression bidirectionnelle pour l'apprentissage fédéré hétérogène. (Bidirectional compression for Federated Learning in a heterogeneous setting).

Constantin Philippenko

PhD thesis, 2023

Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning.

Constantin Philippenko, Aymeric Dieuleveut

CoRR, 2023

2022

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.

Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Preserved central model for faster bidirectional compression in distributed settings.

Constantin Philippenko, Aymeric Dieuleveut

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Artemis: tight convergence guarantees for bidirectional compression in Federated Learning.

Constantin Philippenko, Aymeric Dieuleveut

CoRR, 2020