Exploring non-zero position constraints: algorithm-hardware co-designed DNN sparse training method
On-device learning enables edge devices to continuously adapt to new data for AI applications. Leveraging sparsity to eliminate redundant computation and storage usage during training is a key approach to improving the learning efficiency of edge deep neural network(DNN). However, due to the lack of...
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| Glavni autori: | , , |
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| Format: | Artigo |
| Jezik: | Chinês |
| Izdano: |
EDP Sciences
2025-02-01
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| Serija: | Xibei Gongye Daxue Xuebao |
| Teme: | |
| Online pristup: | https://www.jnwpu.org/articles/jnwpu/full_html/2025/01/jnwpu2025431p119/jnwpu2025431p119.html |
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