Approximate SRAM for Energy-Efficient, Privacy-Preserving Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Approximate SRAM for Energy-Efficient, Privacy-Preserving Convolutional Neural Networks

Published:2017-07 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
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Author:

Yang Lita,Murmann Boris

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7985547/7987474/07987603.pdf?arnumber=7987603

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Energy-Efficient Approximate Edge Inference Systems;ACM Transactions on Embedded Computing Systems;2023-07-24

3. Error-Tolerant Data Sketches Using Approximate Nanoscale Memories and Voltage Scaling;IEEE Transactions on Nanotechnology;2022

4. Special Session: Approximate TinyML Systems: Full System Approximations for Extreme Energy-Efficiency in Intelligent Edge Devices;2021 IEEE 39th International Conference on Computer Design (ICCD);2021-10

5. Memristor-Based Variation-Enabled Differentially Private Learning Systems for Edge Computing in IoT;IEEE Internet of Things Journal;2021-06-15

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