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...
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| Hoofdauteurs: | , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
IEEE
2025-01-01
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| Reeks: | IEEE Access |
| Onderwerpen: | |
| Online toegang: | https://ieeexplore.ieee.org/document/11168255/ |
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