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Cost-effective fault tolerance for CNNs using parameter vulnerability based hardening and pruning

author
Ahmadilivani, Mohammad Hasan
Mousavi, Seyedhamidreza
Raik, Jaan
Daneshtalab, Masoud
Jenihhin, Maksim
statement of authorship
Mohammad Hasan Ahmadilivani, Seyedhamidreza Mousavi, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
source
2024 IEEE 30th International Symposium on On-line Testing and Robust System Design (IOLTS) : IOLTS 2024 : July 03rd-05th 2024, Rennes, Brittany, France
location of publication
Piscataway, NJ
publisher
IEEE
year of publication
2024
pages
7 p
conference name, date
30th IEEE International Symposium on On-line Testing and Robust System Design, IOLTS 2024, 3-5 July 2024
conference location
Rennes, France
url
https://doi.org/10.1109/IOLTS60994.2024.10616072
subject term
tehisnärvivõrgud
tõrketaluvus
parameetrid
riistvara
Scopus
Article at Scopus
WOS
Article at WOS
keyword
fault tolerance
hardening
multilayer neural networks
redundancy
ISBN
979-835037055-3
notes
Bibliogr.: 32 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
arvutisüsteemide instituut
language
inglise
Related publications
Ahmadilivani, M.H., Mousavi, S., Raik, J., Daneshtalab, M., Jenihhin, M. Cost-effective fault tolerance for CNNs using parameter vulnerability based hardening and pruning // 2024 IEEE 30th International Symposium on On-line Testing and Robust System Design (IOLTS) : IOLTS 2024 : July 03rd-05th 2024, Rennes, Brittany, France. Piscataway, NJ : IEEE, 2024. 7 p. https://doi.org/10.1109/IOLTS60994.2024.10616072