NUQSGD: Provably communication-efficient data-parallel SGD via nonuniform quantization

A Ramezani-Kebrya, F Faghri, I Markov… - Journal of Machine …, 2021 - jmlr.org
As the size and complexity of models and datasets grow, so does the need for
communicatione fficient variants of stochastic gradient descent that can be deployed to …

NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization

A Ramezani-Kebrya, F Faghri, I Markov… - arXiv e …, 2019 - ui.adsabs.harvard.edu
As the size and complexity of models and datasets grow, so does the need for
communication-efficient variants of stochastic gradient descent that can be deployed to …

NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization

A Ramezani-Kebrya, F Faghri, I Markov… - Journal of Machine …, 2021 - jmlr.csail.mit.edu
As the size and complexity of models and datasets grow, so does the need for
communication-efficient variants of stochastic gradient descent that can be deployed to …

[PDF][PDF] NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization

A Ramezani-Kebrya, F Faghri, I Markov… - Journal of Machine …, 2021 - researchgate.net
As the size and complexity of models and datasets grow, so does the need for
communicationefficient variants of stochastic gradient descent that can be deployed to …

NUQSGD: Provably communication-efficient data-parallel SGD via nonuniform quantization

A Ramezani-Kebrya, F Faghri… - Journal of …, 2021 - research-explorer.ista.ac.at
As the size and complexity of models and datasets grow, so does the need for
communication-efficient variants of stochastic gradient descent that can be deployed to …

NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization

A Ramezani-Kebrya, F Faghri, I Markov… - Journal of Machine …, 2021 - jmlr.org
As the size and complexity of models and datasets grow, so does the need for
communication-efficient variants of stochastic gradient descent that can be deployed to …

NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization

A Ramezani-Kebrya, F Faghri, I Markov… - Journal Of Machine …, 2021 - infoscience.epfl.ch
As the size and complexity of models and datasets grow, so does the need for
communication-efficient variants of stochastic gradient descent that can be deployed to …

Nuqsgd: Provably communication-efficient data-parallel sgd via nonuniform quantization

A Ramezani-Kebrya, F Faghri, I Markov… - Journal of Machine …, 2021 - openaccess.city.ac.uk
As the size and complexity of models and datasets grow, so does the need for
communication efficient variants of stochastic gradient descent that can be deployed to …

NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization

A Ramezani-Kebrya, F Faghri, I Markov… - arXiv preprint arXiv …, 2019 - arxiv.org
As the size and complexity of models and datasets grow, so does the need for
communication-efficient variants of stochastic gradient descent that can be deployed to …

[PDF][PDF] Nuqsgd: Provably communication-efficient data-parallel sgd via nonuniform quantization

A Ramezani-Kebrya, F Faghri, I Markov… - Journal of Machine …, 2021 - openaccess.city.ac.uk
As the size and complexity of models and datasets grow, so does the need for
communicationefficient variants of stochastic gradient descent that can be deployed to …