Persistent URL of this record https://hdl.handle.net/1887/3673414
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![Hierarchical design space exploration for distributed CNN inference at the edge](https://scholarlypublications.universiteitleiden.nl/sites/all/themes/scholarly/img/closed_access.png)
Hierarchical design space exploration for distributed CNN inference at the edge
- All authors
- Guo, X.; Pimentel, A.; Stefanov, T.
- Editor(s)
- Koprinska, I.; Mignone, P.; Guidotti, R.; Jaroszewicz, S.; Fröning, H.; Gullo, F.; Ferreira, P.M.; Roqueiro, D.; Ceddia, G.; Nowaczyk, S.; Gama, J.; Ribeiro, R.; Gavaldà, R.; Masciari, E.; Ras, Z.; Ritacco, E.; Naretto, F.; Theissler, A.; Biecek, P.; Verbeke, W.; Schiele, G.; Pernkopf, F.; Blott, M.; Bordino, I.; Danesi, I.L.; Ponti, G.; Severini, L.; Appice, A.; Andresini, G.; Medeiros, I.; Graca, G.; Cooper, L.; Ghazaleh, N.; Richiardi, J.; Saldana, D.; Sechidis, K.; Canakoglu, A.; Pido, S.; Pinoli, P.; Bifet, A.; Pashami, S.
- Date
- 2023
- Title of host publication
- Communications in Computer and Information Science; Machine learning and principles and practice of knowledge discovery in databases. ECML PKDD 2022
- Pages
- 545 - 556
- ISBN (print)
- 9783031236174
- ISBN (electronic)
- 9783031236181
Publication Series
- Name
- 1752