@inproceedings{vaswani2017attention,
  title     = {Attention Is All You Need},
  author    = {Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {
               }Lukasz and Polosukhin, Illia},
  booktitle = {Advances in Neural Information Processing Systems},
  year      = {2017}
}

@book{mckinney2017python,
  title     = {Python for Data Analysis},
  author    = {McKinney, Wes},
  publisher = {O'Reilly Media},
  address   = {Sebastopol, CA},
  year      = {2017},
  edition   = {2},
  isbn      = {978-1491957660}
}

@inproceedings{he2016resnet,
  title     = {Deep Residual Learning for Image Recognition},
  author    = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages     = {770--778},
  year      = {2016},
  doi       = {10.1109/CVPR.2016.90},
  url       = {https://doi.org/10.1109/CVPR.2016.90}
}

@article{silver2017mastering,
  title   = {Mastering the game of Go without human knowledge},
  author  = {Silver, David and Schrittwieser, Julian and Simonyan, Karen and Antonoglou, Ioannis and Huang, Aja and others},
  journal = {Nature},
  volume  = {550},
  number  = {7676},
  pages   = {354--359},
  year    = {2017},
  month   = {oct},
  doi     = {10.1038/nature24270},
  url     = {https://www.nature.com/articles/nature24270}
}

@techreport{openai2023gpt4,
  title         = {GPT-4 Technical Report},
  author        = {{OpenAI}},
  institution   = {OpenAI},
  year          = {2023},
  number        = {arXiv:2303.08774},
  archiveprefix = {arXiv},
  eprint        = {2303.08774},
  primaryclass  = {cs.CL},
  url           = {https://arxiv.org/abs/2303.08774}
}

@phdthesis{doe2020thesis,
  title   = {Learning Efficient Representations for Large-Scale Visual Recognition},
  author  = {Doe, Jane},
  school  = {Massachusetts Institute of Technology},
  address = {Cambridge, MA},
  year    = {2020},
  doi     = {10.5555/mit-2020-xyz}
}

@incollection{cover2006entropy,
  title     = {Entropy, Relative Entropy, and Mutual Information},
  author    = {Cover, Thomas M. and Thomas, Joy A.},
  booktitle = {Elements of Information Theory},
  publisher = {Wiley},
  address   = {Hoboken, NJ},
  edition   = {2},
  year      = {2006},
  pages     = {13--55},
  isbn      = {978-0471241959}
}

@misc{zenodo2021dataset,
  title        = {ImageNet-21K Subset (Version 2.0)},
  author       = {Smith, John and Lee, Alice and Kumar, Ravi},
  year         = {2021},
  howpublished = {Dataset on Zenodo},
  doi          = {10.5281/zenodo.1234567},
  url          = {https://doi.org/10.5281/zenodo.1234567},
  note         = {Accessed 2025-09-01}
}

@misc{sklearn2024,
  title        = {scikit-learn: Machine Learning in Python (Version 1.4)},
  author       = {Pedregosa, Fabian and Varoquaux, Ga{"e}l and Gramfort, Alexandre and others},
  year         = {2024},
  howpublished = {Software},
  doi          = {10.5281/zenodo.592264},
  url          = {https://scikit-learn.org}
}

@inproceedings{smith2024privacy,
  title     = {Privacy-Preserving Training with Low-Precision Secure Aggregation},
  author    = {Smith, Emily and Zhang, Wei and Rossi, Marco and Patel, Neha},
  booktitle = {Proceedings of the 41st International Conference on Machine Learning},
  editor    = {Smith, A. and Johnson, B.},
  series    = {Proceedings of Machine Learning Research},
  volume    = {235},
  pages     = {12345--12367},
  address   = {Vienna, Austria},
  publisher = {PMLR},
  month     = {jul},
  year      = {2024},
  url       = {https://proceedings.mlr.press/v235/}
}

@article{kingma2015adam,
  title         = {Adam: A Method for Stochastic Optimization},
  author        = {Kingma, Diederik P. and Ba, Jimmy},
  journal       = {International Conference on Learning Representations (ICLR)},
  year          = {2015},
  archiveprefix = {arXiv},
  eprint        = {1412.6980},
  primaryclass  = {cs.LG},
  url           = {https://arxiv.org/abs/1412.6980}
}

@misc{raffel2020t5,
  title         = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer},
  author        = {Raffel, Colin and Shazeer, Noam and Roberts, Adam and Lee, Katherine and Narang, Sharan and others},
  year          = {2020},
  howpublished  = {arXiv preprint},
  archiveprefix = {arXiv},
  eprint        = {1910.10683},
  primaryclass  = {cs.LG},
  doi           = {10.48550/arXiv.1910.10683},
  url           = {https://arxiv.org/abs/1910.10683}
}