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Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models

Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models

4 October 2023
Zihao Lin
Yan Sun
Yifan Shi
Xueqian Wang
Lifu Huang
Li Shen
Dacheng Tao
ArXivPDFHTML

Papers citing "Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models"

12 / 12 papers shown
Title
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
C. L. P. Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
83
84
0
27 Jun 2023
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
Changdae Oh
Hyeji Hwang
Hee-young Lee
Yongtaek Lim
Geunyoung Jung
Jiyoung Jung
Hosik Choi
Kyungwoo Song
VLM
VPVLM
72
54
0
26 Mar 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher
  Generalization Accuracy
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
Yan Sun
Li Shen
Tiansheng Huang
Liang Ding
Dacheng Tao
FedML
29
50
0
21 Feb 2023
BBTv2: Towards a Gradient-Free Future with Large Language Models
BBTv2: Towards a Gradient-Free Future with Large Language Models
Tianxiang Sun
Zhengfu He
Hong Qian
Yunhua Zhou
Xuanjing Huang
Xipeng Qiu
91
53
0
23 May 2022
Instruction Induction: From Few Examples to Natural Language Task
  Descriptions
Instruction Induction: From Few Examples to Natural Language Task Descriptions
Or Honovich
Uri Shaham
Samuel R. Bowman
Omer Levy
ELM
LRM
107
133
0
22 May 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
228
780
0
14 Oct 2021
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models
Yuan Yao
Ao Zhang
Zhengyan Zhang
Zhiyuan Liu
Tat-Seng Chua
Maosong Sun
MLLM
VPVLM
VLM
186
218
0
24 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
319
2,108
0
02 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
275
3,784
0
18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
190
14,190
0
07 Oct 2016
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