SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search

arXiv:2402.13204v1 Announce Type: cross
Abstract: Recent advancements in Artificial Intelligence (AI), driven by Neural Networks (NN), demand innovative neural architecture designs, particularly within the constrained environments of Internet of Things (IoT) systems, to balance performance and efficiency. HW-aware Neural Architecture Search (HW-aware NAS) emerges as an attractive strategy to automate the design of NN using multi-objective optimization approaches, such as evolutionary algorithms. However, the intricate relationship between NN design parameters and HW-aware NAS optimization objectives remains an underexplored research area, …

abstract architecture artificial artificial intelligence arxiv automate balance cs.lg cs.ne demand designs efficiency environments framework hardware intelligence internet internet of things iot nas networks neural architecture search neural networks performance search strategy systems type