A cross-platform measurement study of accuracy, speed, power, and memory for classical ML, deep learning, and LLM inference on four edge devices, with parameter tuning guidelines.
Deep learning for edge computing applications: A state-of-the-art survey,
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On the Sustainability of AI Inferences in the Edge
A cross-platform measurement study of accuracy, speed, power, and memory for classical ML, deep learning, and LLM inference on four edge devices, with parameter tuning guidelines.