We discuss several tests for determining whether a given set of independent and identically distributed (i.i.d.) draws does not come from a specified probability density function. The most commonly ...

Abstract: The aim of this article is to study the effect of different Federated Learning strategies with several non-IID (Independent and Identically Distributed) data distributions on the test ...

Abstract: The paper covers issues of studying algorithms for aggregating local results for non-identically distributed data within the framework of federated machine learning. Federated learning ...