Parallel training of linear models without compromising convergence

Nikolas Ioannou, Celestine Dünner, Kornilios Kourtis +1

In this paper we analyze, evaluate, and improve the performance of training generalized linear models on modern CPUs. We start with a state-of-the-art asynchronous parallel trainin…