P. Mangold, A. Bellet, J. Salmon and M. Tommasi,
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent,
AISTATS,
2023.
[pdf][arxiv][hal][poster]
JO. du Terrail, S. Ayed, E. Cyffers, F. Grimberg, C. He, R. Loeb, P. Mangold, T. Marchand, O. Marfoq, E. Mushtaq, B. Muzellec, C. Philippenko, S. Silva, M. Teleńczuk, S. Albarqouni, S. Avestimehr, A. Bellet, A. Dieuleveut, M. Jaggi, SP. Karimireddy, M. Lorenzi, G. Neglia, M. Tommasi and M. Andreux,
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings,
NeurIPS,
2022.
[pdf][arxiv][hal]
P. Mangold, A. Bellet, J. Salmon and M. Tommasi,
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization,
ICML,
2022.
[pdf][arxiv][hal][poster]
2021
A. Lamer, A. Filiot, Y. Bouillard, P. Mangold, P. Andrey and J. Schiro,
Specifications for the routine implementation of federated learning in hospitals networks,
Studies in health technology and informatics,
2021.
[pdf][hal]
