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Efficient Neural Architecture Search for Split Computing via Supernet Fine-Tuning

Split Computing (SC) is a method that partitions a deep neural network into a head model running on resource-constrained edge devices and a tail model executing on powerful servers. The edge device computes intermediate feature maps, which are sent to the server, significantly lowering local computa...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Kohei Ogawa, Yuko Hara
Hōputu: Artigo
Reo:Inglês
I whakaputaina: IEEE 2025-01-01
Rangatū:IEEE Access
Ngā marau:
Urunga tuihono:https://ieeexplore.ieee.org/document/11168255/
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