Efficient deep learning

被引：9
|
作者：
Wang, Shiqiang [1 ]
机构：
[1] IBM TJ Watson Res Ctr, Yorktown Hts, NY 10598 USA
来源：
NATURE COMPUTATIONAL SCIENCE | 2021年 / 1卷 / 03期
关键词：
D O I：
10.1038/s43588-021-00042-x
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The computational complexity of deep neural networks is a major obstacle of many application scenarios driven by low-power devices, including federated learning. A recent finding shows that random sketches can substantially reduce the model complexity without affecting prediction accuracy.
引用
收藏
页码：181 / 182
页数：2
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