Early-Exit Neural Architecture Search for Energy-Harvesting Edge Computing

Sixdenier PL, Deutel M, Teich J (2025)

Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2025

Publisher: IEEE

Conference Proceedings Title: 2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)

Event location: Singapore SG

ISBN: 979-8-3315-6571-8

URI: https://ieeexplore.ieee.org/document/11311064

DOI: 10.1109/MCSoC67473.2025.00066

Authors with CRIS profile

Pierre-Louis Sixdenier Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Mark Deutel Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Jürgen Teich Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

How to cite

APA:

Sixdenier, P.-L., Deutel, M., & Teich, J. (2025). Early-Exit Neural Architecture Search for Energy-Harvesting Edge Computing. In 2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC). Singapore, SG: IEEE.

MLA:

Sixdenier, Pierre-Louis, Mark Deutel, and Jürgen Teich. "Early-Exit Neural Architecture Search for Energy-Harvesting Edge Computing." Proceedings of the 2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), Singapore IEEE, 2025.

BibTeX: Download