Distributed training of deep learning models: A taxonomic perspective

M Langer, Z He, W Rahayu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Distributed deep learning systems (DDLS) train deep neural network models by utilizing the
distributed resources of a cluster. Developers of DDLS are required to make many decisions …

Distributed Training of Deep Learning Models: A Taxonomic Perspective

M Langer, Z He, W Rahayu, Y Xue - IEEE Transactions on Parallel & …, 2020 - computer.org
Distributed deep learning systems (DDLS) train deep neural network models by utilizing the
distributed resources of a cluster. Developers of DDLS are required to make many decisions …

Distributed Training of Deep Learning Models: A Taxonomic Perspective

M Langer, Z He, W Rahayu, Y Xue - IEEE Transactions on Parallel and …, 2020 - dl.acm.org
Distributed deep learning systems (DDLS) train deep neural network models by utilizing the
distributed resources of a cluster. Developers of DDLS are required to make many decisions …

Distributed Training of Deep Learning Models: A Taxonomic Perspective

M Langer, Z He, W Rahayu, Y Xue - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Distributed deep learning systems (DDLS) train deep neural network models by utilizing the
distributed resources of a cluster. Developers of DDLS are required to make many decisions …

Distributed Training of Deep Learning Models: A Taxonomic Perspective

M Langer, Z He, W Rahayu, Y Xue - arXiv preprint arXiv:2007.03970, 2020 - arxiv.org
Distributed deep learning systems (DDLS) train deep neural network models by utilizing the
distributed resources of a cluster. Developers of DDLS are required to make many decisions …