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Efficient and Structural Gradient Compression with Principal Component Analysis for Distributed Training
Jiaxin Tan, Chao Yao,
Zehua Guo
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此作品的通讯作者
自动化学院
Beijing Institute of Technology
Shaanxi Normal University
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Computer Science
Component Analysis
100%
Principal Components
100%
Distributed Machine Learning
100%
Machine Learning
50%
Neural Network
50%
Image Classification
50%
Good Performance
50%
Training Data
50%
Classification Task
50%
Machine Learning Approach
50%
Compression Scheme
50%
Speed-up
50%
Training Process
50%
Chemical Engineering
Learning System
100%
Neural Network
25%