"privacy-preserving fine-tuning" Papers
2 papers found
Conference
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
Jingwei Sun, Ziyue Xu, Hongxu Yin et al.
ICML 2024arXiv:2310.01467
36
citations
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
Zhen Qin, Daoyuan Chen, Bingchen Qian et al.
ICML 2024arXiv:2312.06353
61
citations