ML Anthology

SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles

Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
IJCAI 2023 pp. 501-509
doi:10.24963/IJCAI.2023/56 /ijcai/2023/tran2023ijcai-sf/
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Cite

Text

Tran et al. "SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles." International Joint Conference on Artificial Intelligence, 2023. doi:10.24963/IJCAI.2023/56

Markdown

[Tran et al. "SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles." International Joint Conference on Artificial Intelligence, 2023.](https://mlanthology.org/ijcai/2023/tran2023ijcai-sf/) doi:10.24963/IJCAI.2023/56

BibTeX

@inproceedings{tran2023ijcai-sf,
  title     = {{SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles}},
  author    = {Tran, Cuong and Zhu, Keyu and Fioretto, Ferdinando and Van Hentenryck, Pascal},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {501-509},
  doi       = {10.24963/IJCAI.2023/56},
  url       = {https://mlanthology.org/ijcai/2023/tran2023ijcai-sf/}
}