16 citations · 21 across the 3 of their papers we have counts for
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cs.LG2022★ 3 cited
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning
Tanguy Marchand, Boris Muzellec, Constance Beguier +2
The Yeo-Johnson (YJ) transformation is a standard parametrized per-feature unidimensional transformation often used to Gaussianize features in machine learning. In this paper, we i…
cs.LG2020★ 2 cited
Federated Survival Analysis with Discrete-Time Cox Models
Mathieu Andreux, Andre Manoel, Romuald Menuet +2
Building machine learning models from decentralized datasets located in different centers with federated learning (FL) is a promising approach to circumvent local data scarcity whi…