Distributed Learning with Dependent Samples

Abstract--This paper focuses on learning rate analysis of distributed kernel ridge regression for strong mixing sequences. Index Terms--Distributed learning, strong mixing sequences, kernel ridge regression, learning rate. I. Introduction With the development of data mining, data of massive size are collected in numerous application regions including Figure 1: Training flow of distributed learning recommendable systems, medical analysis, search engineering, financial analysis, online text, sensor network monitoring and social activity mining. A. Distributed learning cannot be reflected by data of small size [9], and creating new Distributed learning is a natural and preferable approach growth opportunities to combine and analyze industry data [3]. Finally, these distributively stored data.