1. [Publications](/publications)
2. FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
 
 # FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

  ![Publication image](/sites/default/files/styles/wide/public/default_images/default.jpeg?itok=qUFsuJCP "Publication image")

 ## Authors



Jingwei Sun (Duke University)

[Ziyue Xu](/person/ziyue-xu)

[Hongxu Danny Yin](/person/danny-yin)

[Dong Yang](/person/dong-yang)

[Daguang Xu](/person/daguang-xu)

Yudong Liu (Duke University)

Zhixu Du (Duke University)

Yiran Chen (Duke University)

[Holger Roth](/person/holger-roth)

 

 

 ## Publication Date



Sunday, July 21, 2024

 

 ## Published in



[International Conference on Machine Learning 2024](https://proceedings.mlr.press/v235/sun24j.html)

 

 ## Research Area



[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

[Generative AI](/research-area/generative-ai)

[Natural Language Processing](/research-area/natural-language-processing)