Constantin Philippenko

According to our database1, Constantin Philippenko authored at least 7 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Adaptive collaboration for online personalized distributed learning with heterogeneous clients.
CoRR, July, 2025

In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Compressed and distributed least-squares regression: convergence rates with applications to federated learning.
J. Mach. Learn. Res., 2024

2023
Compression bidirectionnelle pour l'apprentissage fédéré hétérogène. (Bidirectional compression for Federated Learning in a heterogeneous setting).
PhD thesis, 2023

2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.
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.
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.
CoRR, 2020


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