Distributed Multi-Task Learning

Jialei Wang, Mladen Kolar, Nathan Srebro

Abstract: We consider the problem of distributed multi-task learning, where each machine learns a separate, but related, task. Specifically, each machine learns a linear predictor in high-dimensional space, ...