@inproceedings{cs2-14-1,
  title = {{Practical Secure Aggregation for Privacy-Preserving Machine Learning}},
  author = {Bonawitz, Keith and Ivanov, Vladimir and Kreuter, Ben and Marcedone, Antonio and McMahan, H. Brendan and Patel, Sarvar and Ramage, Daniel and Segal, Aaron and Seth, Karn},
  year = {2017},
  url = {https://acmccs.github.io/papers/p1175-bonawitzA.pdf},
  doi = {10.1145/3133956.3133982},
  booktitle = {ACM CCS 2017}
}

@inproceedings{cs2-14-2,
  title = {{Secure Single-Server Vector Aggregation with (Poly)Logarithmic Overhead}},
  author = {Bell, James and Bonawitz, K. A. and Gascon, Adria and Lepoint, Tancrede and Raykova, Mariana},
  year = {2020},
  url = {https://research.google/pubs/secure-single-server-vector-aggregation-with-polylogarithmic-overhead/},
  booktitle = {Google Research publication record}
}

@techreport{cs2-14-3,
  title = {{FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning}},
  author = {Kadhe, Swanand and Rajaraman, Nived and Koyluoglu, O. Ozan and Ramchandran, Kannan},
  year = {2020},
  url = {https://arxiv.org/abs/2009.11248},
  institution = {Author manuscript}
}

@techreport{cs2-14-4,
  title = {{Eluding Secure Aggregation in Federated Learning via Model Inconsistency}},
  author = {Pasquini, Dario and Francati, Danilo and Ateniese, Giuseppe},
  year = {2022},
  url = {https://arxiv.org/abs/2111.07380},
  institution = {Author manuscript}
}

@techreport{cs2-14-5,
  title = {{Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning}},
  author = {So, Jinhyun and Ali, Ramy E. and Guler, Basak and Jiao, Jiantao and Avestimehr, Salman},
  year = {2023},
  url = {https://arxiv.org/abs/2106.03328},
  institution = {Author manuscript}
}

@misc{cs2-14-6,
  title = {{Secure Aggregation Protocols}},
  author = {{Flower Labs}},
  year = {2026},
  url = {https://flower.ai/docs/framework/explanation-ref-secure-aggregation-protocols.html},
  howpublished = {Flower documentation}
}