Efficient Training of Large-Scale Industrial Fault Diagnostic Models Through Federated Opportunistic Block Dropout

Cite

Text

Chen et al. "Efficient Training of Large-Scale Industrial Fault Diagnostic Models Through Federated Opportunistic Block Dropout." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I13.26836

Markdown

[Chen et al. "Efficient Training of Large-Scale Industrial Fault Diagnostic Models Through Federated Opportunistic Block Dropout." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/chen2023aaai-efficient/) doi:10.1609/AAAI.V37I13.26836

BibTeX

@inproceedings{chen2023aaai-efficient,
  title     = {{Efficient Training of Large-Scale Industrial Fault Diagnostic Models Through Federated Opportunistic Block Dropout}},
  author    = {Chen, Yuanyuan and Chen, Zichen and Guo, Sheng and Zhao, Yansong and Liu, Zelei and Wu, Pengcheng and Yang, Chengyi and Li, Zengxiang and Yu, Han},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {15485-15493},
  doi       = {10.1609/AAAI.V37I13.26836},
  url       = {https://mlanthology.org/aaai/2023/chen2023aaai-efficient/}
}