Improving device-edge cooperative inference of deep learning via 2-step pruning

W Shi, Y Hou, S Zhou, Z Niu, Y Zhang… - IEEE INFOCOM 2019 …, 2019 - ieeexplore.ieee.org
Deep neural networks (DNNs) are state-of-the-art solutions for many machine learning
applications, and have been widely used on mobile devices. Running DNNs on …
被引用次数：92 相关文章

Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning

W Shi, Y Hou, S Zhou, Z Niu, Y Zhang… - arXiv preprint arXiv …, 2019 - arxiv.org
Deep neural networks (DNNs) are state-of-the-art solutions for many machine learning
applications, and have been widely used on mobile devices. Running DNNs on resource …

Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning

W Shi, Y Hou, S Zhou, Z Niu, Y Zhang… - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Deep neural networks (DNNs) are state-of-the-art solutions for many machine learning
applications, and have been widely used on mobile devices. Running DNNs on resource …
[PDF] tsinghua.edu.cn

[PDF][PDF] Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning

W Shi, Y Hou, S Zhou, Z Niu… - arXiv preprint arXiv …, 2019 - network.ee.tsinghua.edu.cn
Deep neural networks (DNNs) are state-of-the-art solutions for many machine learning
applications, and have been widely used on mobile devices. Running DNNs on …