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English(EN) SPARX: Secure and Privacy-Aware Approximate CNN Acceleration with Edge RISC-V SoC

SPARX框架加速边缘RISC-V芯片上的CNN

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了SPARX，一个用于在边缘设备上加速卷积神经网络（CNN）的框架。该系统将近似计算与安全和隐私功能集成到RISC-V片上系统中。SPARX利用自定义RISC-V指令扩展和近似对数CNN加速器，并通过差分噪声隐私引擎和认证机制进行增强。评估显示，在特定CNN模型的精度影响极小的情况下，面积和功耗显著降低，吞吐量也有所提高。 AI

影响 赋能资源受限的边缘设备上更高效、更安全的人工智能推理。

排序理由 详细介绍CNN新硬件加速框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

SPARX框架加速边缘RISC-V芯片上的CNN

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详细介绍CNN新硬件加速框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Sonu Kumar, Akash Sankhe, Mukul Lokhande, Santosh Kumar Vishvakarma ·

    SPARX：基于边缘RISC-V SoC的安全和隐私感知近似CNN加速

    arXiv:2606.09946v1 Announce Type: cross Abstract: Edge-AI systems increasingly require real-time CNN inference under strict energy, performance, security, and privacy constraints. Approximate computing improves hardware efficiency by exploiting the error resilience of neural netw…

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