FEDERATED MACHINE LEARNING – Towards Data Science

This article is about Federated Machine Learning, one of the latest and most celebrated approaches being explored in the world of machine learning, which focuses on utilizing the power of distributed systems to train and enhance machine learning models. With advent of IOT and increase in the usage of smartphones number of endpoints having data has increased exponentially. However, the traditional approaches of machine learning are not equipped to deal with such vastly distributed data and train models on it. The traditional machine learning approach consists of a central server to store data and train models. There are two ways then to use such trained models.