Horizontally Distributed Sensor Data Analysis by Linear Fuzzy Clustering Based on Federated Learning

Abstract

Federated learning is a scheme of analyzing distributed data by preserving personal privacy and has been applied to fuzzy clustering. In this paper, federated learning-based linear fuzzy clustering is applied to a horizontally distributed sensor data, where characteristics of the federated learning model is discussed through comparison with the batch learning result.