A framework converts traditional edge tasks to NN models via NAS and schedules them on idle AI chips to improve performance without affecting primary workloads.
Efficient neural networks for tiny machine learning: A comprehensive review.arXiv preprint arXiv:2311.11883, 2023
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Harvesting AI Computation at the Edge via Generic Approximation
A framework converts traditional edge tasks to NN models via NAS and schedules them on idle AI chips to improve performance without affecting primary workloads.