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FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction
  Tuning

FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning

10 March 2024
Zhuo Zhang
Jingyuan Zhang
Jintao Huang
Lizhen Qu
Hongzhi Zhang
Qifan Wang
Xun Zhou
Zenglin Xu
    FedML
ArXivPDFHTML

Papers citing "FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning"

3 / 3 papers shown
Title
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation
Zezhou Wang
Yaxin Du
Zhuzhong Qian
Yugang Jiang
Zhuzhong Qian
Siheng Chen
FedML
149
0
0
30 Sep 2024
Emerging Safety Attack and Defense in Federated Instruction Tuning of
  Large Language Models
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models
Rui Ye
Jingyi Chai
Xiangrui Liu
Yaodong Yang
Yanfeng Wang
Siheng Chen
AAML
58
8
0
15 Jun 2024
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large
  Language Models
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
Guangyi Liu
Rui Ge
Xinyu Zhu
Jingyi Chai
Yaxin Du
Yang Liu
Yanfeng Wang
Siheng Chen
FedML
41
14
0
07 Jun 2024
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