A Robust Deep-Neural-Network-Based Compressed Model for Mobile Device Assisted by Edge Server
Deep neural networks (DNNs) have been extensively used in multiple applications. Due to the over-parameterized DNN-based model, the mobile device has computation and energy limitations to deploy such a model for machine learning tasks. Thus, many works focus on compressing a large-scale model to a s...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8928622/ |