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Unlocking the Potential of Prompt-Tuning in Bridging Generalized and
  Personalized Federated Learning

Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning

27 October 2023
Wenlong Deng
Christos Thrampoulidis
Xiaoxiao Li
ArXivPDFHTML

Papers citing "Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning"

18 / 18 papers shown
Title
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Yu Qiao
Huy Q. Le
Avi Deb Raha
Phuong-Nam Tran
Apurba Adhikary
Mengchun Zhang
Loc X. Nguyen
Eui-nam Huh
Dusit Niyato
C. Hong
AI4CE
21
0
0
11 May 2025
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
Jieming Bian
Yuanzhe Peng
Lei Wang
Yin Huang
Jie Xu
FedML
55
0
0
29 Apr 2025
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
Haoyu Lei
Shizhan Gong
Qi Dou
Farzan Farnia
FedML
55
0
0
19 Mar 2025
Modality Alignment Meets Federated Broadcasting
Modality Alignment Meets Federated Broadcasting
Yuting Ma
Shengeng Tang
Xiaohua Xu
Lechao Cheng
65
1
0
24 Nov 2024
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
Wenlong Deng
Yize Zhao
V. Vakilian
Minghui Chen
Xiaoxiao Li
Christos Thrampoulidis
35
3
0
12 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo
Shuang Zeng
Y. Wang
Huijie Fan
Feifei Wang
Liangqiong Qu
FedML
34
8
0
02 Oct 2024
Federated Learning from Vision-Language Foundation Models: Theoretical
  Analysis and Method
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
Bikang Pan
Wei Huang
Ye-ling Shi
FedML
VLM
19
3
0
29 Sep 2024
Tackling Feature-Classifier Mismatch in Federated Learning via
  Prompt-Driven Feature Transformation
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation
Xinghao Wu
Jianwei Niu
Xuefeng Liu
Mingjia Shi
Guogang Zhu
Shaojie Tang
24
2
0
23 Jul 2024
Synergizing Foundation Models and Federated Learning: A Survey
Synergizing Foundation Models and Federated Learning: A Survey
Shenghui Li
Fanghua Ye
Meng Fang
Jiaxu Zhao
Yun-Hin Chan
Edith C. -H. Ngai
Thiemo Voigt
AI4CE
43
5
0
18 Jun 2024
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning
  and Logit Distillation
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation
Yuting Ma
Lechao Cheng
Yaxiong Wang
Zhun Zhong
Xiaohua Xu
Meng Wang
FedML
21
4
0
27 May 2024
On Fairness of Medical Image Classification with Multiple Sensitive
  Attributes via Learning Orthogonal Representations
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
Wenlong Deng
Yuan Zhong
Qianming Dou
Xiaoxiao Li
FaML
33
17
0
04 Jan 2023
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
F. Khan
VPVLM
VLM
186
521
0
06 Oct 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 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
278
3,784
0
18 Apr 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
770
0
15 Feb 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
225
2,404
0
04 Jan 2021
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLL
VLM
140
195
0
21 Mar 2020
Survey of Personalization Techniques for Federated Learning
Survey of Personalization Techniques for Federated Learning
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
FedML
168
323
0
19 Mar 2020
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