Jean Ogier du Terrail

According to our database, Jean Ogier du Terrail authored at least 10 papers between 2017 and 2023.

Collaborative distances:

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

2023

FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings.

Jean Ogier du Terrail, Quentin Klopfenstein, Honghao Li, Imke Mayer, Nicolas Loiseau, Mohammad Hallal, Félix Balazard, Mathieu Andreux

CoRR, 2023

SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning.

Tanguy Marchand, Regis Loeb, Ulysse Marteau-Ferey, Jean Ogier du Terrail, Arthur Pignet

Proceedings of the International Conference on Machine Learning, 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

SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning.

Tanguy Marchand, Boris Muzellec, Constance Beguier, Jean Ogier du Terrail, Mathieu Andreux

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

2021

Differentially Private Federated Learning for Cancer Prediction.

Constance Beguier, Jean Ogier du Terrail, Iqraa Meah, Mathieu Andreux, Eric W. Tramel

CoRR, 2021

2020

Siloed Federated Learning for Multi-centric Histopathology Datasets.

Mathieu Andreux, Jean Ogier du Terrail, Constance Beguier, Eric W. Tramel

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2018

Réseaux de neurones convolutionnels profonds pour la détection de petits véhicules en imagerie aérienne. (Deep neural networks for the detection of small vehicles in aerial imagery).

Jean Ogier du Terrail

PhD thesis, 2018

Faster RER-CNN: application to the detection of vehicles in aerial images.

Jean Ogier du Terrail, Frédéric Jurie

CoRR, 2018

Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks.

Shivang Agarwal, Jean Ogier du Terrail, Frédéric Jurie

CoRR, 2018

2017

On the use of deep neural networks for the detection of small vehicles in ortho-images.

Jean Ogier du Terrail, Frédéric Jurie

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017