FedOBD: Opportunistic Block Dropout for Efficiently Training Large-Scale Neural Networks Through Federated Learning

Cite

Text

Chen et al. "FedOBD: Opportunistic Block Dropout for Efficiently Training Large-Scale Neural Networks Through Federated Learning." International Joint Conference on Artificial Intelligence, 2023. doi:10.24963/IJCAI.2023/394

Markdown

[Chen et al. "FedOBD: Opportunistic Block Dropout for Efficiently Training Large-Scale Neural Networks Through Federated Learning." International Joint Conference on Artificial Intelligence, 2023.](https://mlanthology.org/ijcai/2023/chen2023ijcai-fedobd/) doi:10.24963/IJCAI.2023/394

BibTeX

@inproceedings{chen2023ijcai-fedobd,
  title     = {{FedOBD: Opportunistic Block Dropout for Efficiently Training Large-Scale Neural Networks Through Federated Learning}},
  author    = {Chen, Yuanyuan and Chen, Zichen and Wu, Pengcheng and Yu, Han},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {3541-3549},
  doi       = {10.24963/IJCAI.2023/394},
  url       = {https://mlanthology.org/ijcai/2023/chen2023ijcai-fedobd/}
}