Linear Regression with Distributed Learning: A Generalization Error Perspective

Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén

Distributed learning provides an attractive framework for scaling the learning task by sharing the computational load over multiple nodes in a network. Here, we investigate the per…