Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations

Anna Bogdanova, Akie Nakai, Yukihiko Okada +2

Dimensionality Reduction is a commonly used element in a machine learning pipeline that helps to extract important features from high-dimensional data. In this work, we explore an…