Improving Classifier Latency at the Edge through ARM Helium
The increasing diffusion of intelligent devices at the network edge has led to a growing demand for efficient on-device inference, capable of overcoming the limitations of traditional cloud-centric computing paradigms. This work investigates the acceleration of decision tree–based inference on resource-constrained edge...
L. Abate, Mario Barbareschi, Antonio Emmanuele
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