Name
Title | ||
|---|---|---|
Reliability Assessment of Tiny Machine Learning Algorithms in the Presence of Control Flow Errors |
Abstract | ||
|---|---|---|
With the advances in hardware technologies, embedded and Edge devices are now able to offer sufficient memory and computational power to accommodate light-weight machine-learning (ML) classifiers. However, due to the intensive code optimization and summarization in the design phase, the reliability of light-weight ML applications is at risk. In this paper, we study the reliability of three prototy... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MWSCAS47672.2021.9531793 | 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) |
Keywords | DocType | ISSN |
Machine learning algorithms,Decision making,Neural networks,Process control,Machine learning,Reliability engineering,Robustness | Conference | 1548-3746 |
ISBN | Citations | PageRank |
978-1-6654-2461-5 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brian Eubanks | 1 | 0 | 0.68 |
| Ahmad Patooghy | 2 | 0 | 1.01 |
| Olcay Kursun | 3 | 0 | 0.68 |