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12 changes: 7 additions & 5 deletions README.md
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Expand Up @@ -68,10 +68,12 @@ python main.py --rounds 60 --bias_sampling --model datajuicer/LLaMA-1B-dj-refin
This project adopts the Apache-2.0 License.
If the implementations and/or our paper were useful to you, please consider citing this [work](https://arxiv.org/abs/2312.06353):
```latex
@article{qin2023federated,
title={Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes},
author={Zhen Qin and Daoyuan Chen and Bingchen Qian and Bolin Ding and Yaliang Li and Shuiguang Deng},
journal={arXiv preprint arXiv:2312.06353}
year={2023}
@inproceedings{qin2024federated,
title={Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes},
author={Qin, Zhen and Chen, Daoyuan and Qian, Bingchen and Ding, Bolin and Li, Yaliang and Deng, Shuiguang},
booktitle={International Conference on Machine Learning},
pages={41473--41497},
year={2024},
organization={PMLR}
}
```