Interpretable collaborative data analysis on distributed data

Akira Imakura, Hiroaki Inaba, Yukihiko Okada +1

This paper proposes an interpretable non-model sharing collaborative data analysis method as one of the federated learning systems, which is an emerging technology to analyze distr…