Power-performance characterization of TinyML systems on microcontrollers across models, libraries, OS, and hardware architectures
Read the original at arxiv.org→arXiv:2608.21646v1 Announce Type: new Abstract: TinyML systems are enabling machine learning (ML) inference at the edge. However, there is little quantitative analysis of such systems. This paper presents a...
Original headline: "Power-Performance Characterization of TinyML Systems"
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- Aug 25, 04:00 UTC arXiv cs.LG lead source Power-Performance Characterization of TinyML Systems