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ENAS: An Efficient Hardware-Aware Neural Architecture Search Framework for TinyML on Resource-Constrained Microcontrollers
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TinyMLNeural Architecture SearchMicrocontrollersResource-Constrained
2609.30272
Builder Relevance
1h ago80%
Abstract
ENAS is a hardware-aware Neural Architecture Search framework designed for efficient operation on resource-constrained microcontrollers.
Reality Card
Core Claim
ENAS achieves mean search-time speedups of 2.41x and 1.70x on the Visual Wake Words and Melanoma Cancer datasets, respectively, while maintaining competitive test accuracy.
Method / Result
Achieves 79.4% test accuracy on an STM32H743-based microcontroller, outperforming the greedy CPU-only baseline by 2.6 percentage points.
Limitations
The paper does not specify potential limitations or reproducibility concerns.
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