Apprentissage fédéré vertical

Définition

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Vertical Federated Learning

Vertical Federated Learning (VFL) is a federated learning setting where multiple parties with different features about the same set of users jointly train machine learning models without exposing their raw data or model parameters.

Vertical federated learning or feature-based federated learning … is applicable to the cases that two data sets share the same sample ID space but differ in feature space.

Source : arxiv

Source : openmined