"Edge AI Online Training Architecture Using Multi-Phase-Quantization Optimizer."

Itsuki Akeno et al. (2024)

> Home

Details and statistics

DOI: 10.1109/IJCNN60899.2024.10650299

access: closed

type: Conference or Workshop Paper

metadata version: 2024-09-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ijcnn/AkenoYAA24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ijcnn/AkenoYAA24
Itsuki Akeno, Hiiro Yamazaki, Tetsuya Asai, Kota Ando:
Edge AI Online Training Architecture Using Multi-Phase-Quantization Optimizer. IJCNN 2024: 1-8

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.