Feb 25, 2020 · We propose a \emph{preconditioned} accelerated gradient method where the preconditioning is done by solving a local optimization problem over a subsampled ...
We have introduced SPAG, an accelerated algorithm that per- forms statistical preconditioning for large-scale distributed optimization. Although our ...
We propose a precon-ditioned accelerated gradient method where the preconditioning is done by solving a local optimization problem over a subsampled dataset at ...
In order to reduce the number of communications required to reach a given accuracy, we propose a preconditioned accelerated gradient method where the ...
Feb 25, 2020 · In order to reduce the number of communications required to reach a given accuracy, we propose a preconditioned accelerated gradient method ...
Feb 25, 2020 · In order to reduce the number of communications required to reach a given accuracy, we propose a preconditioned accelerated gradient method ...
Feb 25, 2020 · This work considers the setting of distributed empirical risk minimization where multiple machines compute the gradients in parallel and a ...
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In order to reduce the number of communications required to reach a given accuracy, we propose a \emph{preconditioned} accelerated gradient method where the ...
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Jul 12, 2020 · In order to reduce the number of communications required to reach a given accuracy, we propose a preconditioned accelerated gradient method ...