Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods

ICML 2018 Junhong LinVolkan Cevher

We study generalization properties of distributed algorithms in the setting of nonparametric regression over a reproducing kernel Hilbert space (RKHS). We investigate distributed stochastic gradient methods (SGM), with mini-batches and multi-passes over the data... (read more)

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