Abstract: Brain-inspired spiking neural networks (SNNs) have the capability of energy-efficient processing of temporal information. However, leveraging the rich dynamic characteristics of SNNs and ...
Abstract: This paper proposes GreenLLM, a framework that effectively deploys generative Large Language Models (LLMs) on resource-limited edge devices to well meet the memory and timing constraints ...
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