Short Communication: Dynamic Quantization Aware Training for Edge CNNs
Abstract
We introduce a dynamic quantization-aware training schedule that adapts bit-width per layer based on gradient sensitivity, yielding 28% energy savings on ARM microcontrollers with <0.5% accuracy drop.
Cite this article
Keller, A. & Singh, R. (2025). Short Communication: Dynamic Quantization Aware Training for Edge CNNs. Research Explorations in Global Knowledge & Technology (REGKT), 3 (7). Retrieved from https://regkt.com/article.php?id=134&slug=short-communication-dynamic-qat-for-edge-cnns