Optimization and deployment of CNNs at the edge-Reference-Cited by-同舟云学术

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Optimization and deployment of CNNs at the edge

Published:2019-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th ACM International Conference on Computing Frontiers
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Author:

Meloni Paolo¹,Loi Daniela¹,Busia Paola¹,Deriu Gianfranco¹,Pimentel Andy D.²,Sapra Dolly²,Stefanov Todor³,Minakova Svetlana³,Conti Francesco⁴,Benini Luca⁴,Pintor Maura⁵,Biggio Battista⁵,Moser Bernhard⁶,Shepeleva Natalia⁶,Fragoulis Nikos⁷,Theodorakopoulos Ilias⁷,Masin Michael⁸,Palumbo Francesca⁹

Affiliation:

1. University of Cagliari, Italy

2. University of Amsterdam, The Netherlands

3. Leiden University, The Netherlands

4. ETH Zurich, Switzerland

5. Pluribus One, Italy

6. SCCH, Austria

7. Irida Labs, Greece

8. IBM Research, Israel

9. University of Sassari, Italy

Funder

H2020 LEIT Information and Communication Technologies

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3310273.3323435

Reference17 articles.

1. A system-level approach to adaptivity and fault-tolerance in NoC-based MPSoCs: The MADNESS project

2. Evasion Attacks against Machine Learning at Test Time

3. Scaling for edge inference of deep neural networks;Xu Xiaowei;Nature Electronics,2018

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4. Optimization of Edge Resources for Deep Learning Application with Batch and Model Management;Sensors;2022-09-05

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