Methods and Applications for Low-power Deep Neural Networks on Edge Devices

L'abstract è presente nell'allegato / the abstract is in the attachment

Grantor dc:publisher

Politecnico di Torino

Year dc:date

2023

Author dc:creator

• PRONO, LUCIANO

Contributors dc:contributor

• SETTI, GIANLUCA

• deep neural network
• tinyML
• edge computing
• low-power
• quantization
• pruning
• map-reduce
• multiply and accumulate
• spiking neural network
• compressed sensing
• Settore ING-INF/01 - Elettronica

Statement dc:rights

• info:eu-repo/semantics/openAccess
• license:Creative commons
• license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/

Language dc:language

eng

Handle dc:identifier

https://hdl.handle.net/11583/2976593

OAI identifier oai:identifier

oai:iris.polito.it:11583/2976593