Data island effectively blocks the practical application of machine learning. To meet this challenge, a new framework known as federated learning was created. It allows model training on large amount scattered data owned by different providers. This article presents parallel solution for computing logistic regression based distributed asynchronous task framework. Compared to existing work, our ...

In this paper we consider high-dimensional multiclass classification by sparse multinomial logistic regression. We propose first a feature selection procedure based on penalized maximum likelihood with complexity penalty the model size and derive nonasymptotic bounds for misclassification excess risk of resulting classifier. establish also their tightness deriving corresponding minimax lower bo...