39 citations · 70 across the 4 of their papers we have counts for
4 papers
FedECA: Federated External Control Arms for Causal Inference with Time-To-Event Data in Distributed Settings
Jean Ogier du Terrail, Quentin Klopfenstein, Honghao Li +22
External control arms can inform early clinical development of experimental drugs and provide efficacy evidence for regulatory approval. However, accessing sufficient real-world or…
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning
Tanguy Marchand, Régis Loeb, Ulysse Marteau-Ferey +2
We consider a cross-silo federated learning (FL) setting where a machine learning model with a fully connected first layer is trained between different clients and a central server…
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers +21
Federated Learning (FL) is a novel approach enabling several clients holding sensitive data to collaboratively train machine learning models, without centralizing data. The cross-s…
Faster RER-CNN: application to the detection of vehicles in aerial images
Jean Ogier du Terrail, Frédéric Jurie
Detecting small vehicles in aerial images is a difficult job that can be challenging even for humans. Rotating objects, low resolution, small inter-class variability and very large…