@article{jiang2024investigating,
  title={Investigating Data Contamination for Pre-training Language Models},
  author={Jiang, Minhao and Liu, Ken Ziyu and Zhong, Ming and Schaeffer, Rylan and Ouyang, Siru and Han, Jiawei and Koyejo, Sanmi},
  journal={arXiv preprint arXiv:2401.06059},
  year={2024}
}

@misc{li2022differentially,
  title={Differentially Private Adaptive Optimization with Delayed Preconditioners},
  author={Tian Li and Manzil Zaheer and Ken Ziyu Liu and Sashank J. Reddi and H. Brendan McMahan and Virginia Smith},
  year={2022},
  eprint={2212.00309},
  archivePrefix={arXiv},
  primaryClass={cs.LG}
}

@inproceedings{liu2022privacy,
  title={On Privacy and Personalization in Cross-Silo Federated Learning},
  author={Liu, Ziyu and Hu, Shengyuan and Wu, Zhiwei Steven and Smith, Virginia},
  booktitle={Neural Information Processing Systems (NeurIPS)},
  year={2022}
}

@misc{wu2022motley,
  title={Motley: Benchmarking Heterogeneity and Personalization in Federated Learning},
  author={Wu, Shanshan and Li, Tian and Charles, Zachary and Xiao, Yu and Liu, Ziyu and Xu, Zheng and Smith, Virginia},
  year={2022},
  eprint={2206.09262},
  archivePrefix={arXiv},
}

@article{agarwal2021skellam,
  title={The Skellam Mechanism for Differentially Private Federated Learning},
  author={Agarwal, Naman and Kairouz, Peter and Liu, Ziyu},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={5052--5064},
  year={2021}
}

@inproceedings{kairouz2021distributed,
  title={The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation},
  author={Kairouz, Peter and Liu, Ziyu and Steinke, Thomas},
  booktitle={International Conference on Machine Learning},
  pages={5201--5212},
  year={2021},
  organization={PMLR}
}

@article{zhou2020learning,
  title={Learning implicit credit assignment for cooperative multi-agent reinforcement learning},
  author={Zhou, Meng and Liu, Ziyu and Sui, Pengwei and Li, Yixuan and Chung, Yuk Ying},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={11853--11864},
  year={2020}
}

@inproceedings{liu2020disentangling,
  title={Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition},
  author={Liu, Ziyu and Zhang, Hongwen and Chen, Zhenghao and Wang, Zhiyong and Ouyang, Wanli},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={143--152},
  year={2020}
}