Distributed gradient descent algorithm for robust kernel-based regression

In this paper, we study the theoretical underpinning of a gradient descent algorithm with a robust loss function in a reproducing kernel Hilbert space (RKHS) framework. We introduce a novel auxiliary sequence for the error analysis and improve the previous convergence results when the regression fun... View More