2022
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning
NeurIPS 2022accept
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 investigate the problem of applying the YJ transformation in a cross-silo Federated Learning setting under privacy constr…