SQUAD: A Scalable Quantization Accelerator Toward Energy-Efficient On-Device Quantization-Aware Training
Quantization-aware training (QAT) is a crucial technique for maintaining model accuracy at extremely low-bit precision (i.e., 4-bit or lower). However, the fake quantization operation of QAT introduces significant training time overhead compared to post-training quantization (PTQ). To address this c...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2025-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/11155087/ |
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