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News/EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems
arxiv
PublishedJuly 13, 2026 at 4:00 AM
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EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems

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arXiv:2607.09063v1 Announce Type: new Abstract: Edge devices are increasingly utilized for deploying deep learning applications on embedded systems. The real-time nature of many applications and the limited resources of edge devices necessitate latency-targeted neural network compression. However, m

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#edge-devices#model-compression#latency-prediction#open-source

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