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FedTP: Federated Learning by Transformer Personalization

FedTP: Federated Learning by Transformer Personalization

3 November 2022
Hongxia Li
Zhongyi Cai
Jingya Wang
Jiangnan Tang
Weiping Ding
Chin-Teng Lin
Ye-ling Shi
    FedML
ArXivPDFHTML

Papers citing "FedTP: Federated Learning by Transformer Personalization"

26 / 26 papers shown
Title
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang
Hyeon-Seo Park
Si-Hyeon Lee
FedML
93
0
0
10 Feb 2025
PeFLL: Personalized Federated Learning by Learning to Learn
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
85
7
0
17 Jan 2025
FedAli: Personalized Federated Learning with Aligned Prototypes through
  Optimal Transport
FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal Transport
Sannara Ek
Kaile Wang
François Portet
P. Lalanda
Jiannong Cao
FedML
24
0
0
15 Nov 2024
Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An
  Edge-assisted Federated Prototype Knowledge Distillation Approach
Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach
Luyao Zou
Quang Hieu Vo
Kitae Kim
Huy Q. Le
Chu Myaet Thwal
Chaoning Zhang
Choong Seon Hong
19
1
0
17 Oct 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
Jun Luo
C. L. P. Chen
Shandong Wu
FedML
VLM
MoE
33
3
0
14 Oct 2024
Personalized Quantum Federated Learning for Privacy Image Classification
Personalized Quantum Federated Learning for Privacy Image Classification
Jinjing Shi
Tian Chen
Shichao Zhang
Xuelong Li
FedML
21
0
0
03 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
Addressing Skewed Heterogeneity via Federated Prototype Rectification
  with Personalization
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization
Shunxin Guo
Hongsong Wang
Shuxia Lin
Zhiqiang Kou
Xin Geng
FedML
33
1
0
15 Aug 2024
Save It All: Enabling Full Parameter Tuning for Federated Large Language
  Models via Cycle Block Gradient Descent
Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Block Gradient Descent
Lin Wang
Zhichao Wang
Xiaoying Tang
26
1
0
17 Jun 2024
Harmonizing Generalization and Personalization in Federated Prompt
  Learning
Harmonizing Generalization and Personalization in Federated Prompt Learning
Tianyu Cui
Hongxia Li
Jingya Wang
Ye-ling Shi
FedML
VLM
27
8
0
16 May 2024
On the Federated Learning Framework for Cooperative Perception
On the Federated Learning Framework for Cooperative Perception
Zhenrong Zhang
Jianan Liu
Xi Zhou
Tao Huang
Qing-Long Han
Jingxin Liu
Hongbin Liu
FedML
29
1
0
26 Apr 2024
Towards Multi-modal Transformers in Federated Learning
Towards Multi-modal Transformers in Federated Learning
Guangyu Sun
Matías Mendieta
Aritra Dutta
Xin Li
C. L. P. Chen
67
3
0
18 Apr 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated
  Learning
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
Hongxia Li
Wei Huang
Jingya Wang
Ye-ling Shi
FedML
VLM
22
19
0
29 Feb 2024
Prompt-based Personalized Federated Learning for Medical Visual Question
  Answering
Prompt-based Personalized Federated Learning for Medical Visual Question Answering
He Zhu
Ren Togo
Takahiro Ogawa
Miki Haseyama
MedIm
11
5
0
15 Feb 2024
Fed-CO2: Cooperation of Online and Offline Models for Severe Data
  Heterogeneity in Federated Learning
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
Zhongyi Cai
Ye-ling Shi
Wei Huang
Jingya Wang
FedML
21
4
0
21 Dec 2023
Energizing Federated Learning via Filter-Aware Attention
Energizing Federated Learning via Filter-Aware Attention
Ziyuan Yang
Zerui Shao
Huijie Huangfu
Hui Yu
Andrew Beng Jin Teoh
Xiaoxiao Li
Hongming Shan
Yi Zhang
FedML
27
0
0
18 Nov 2023
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
Wenlong Deng
Christos Thrampoulidis
Xiaoxiao Li
19
12
0
27 Oct 2023
Federated Learning for Connected and Automated Vehicles: A Survey of
  Existing Approaches and Challenges
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi
Liangqi Yuan
Christopher G. Brinton
Stanislaw H. .Zak
Ziran Wang
FedML
25
73
0
21 Aug 2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in
  Road Traffic Systems
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems
Rui Song
Runsheng Xu
Andreas Festag
Jiaqi Ma
Alois C. Knoll
FedML
13
24
0
04 Apr 2023
Visual Prompt Based Personalized Federated Learning
Visual Prompt Based Personalized Federated Learning
Guang-Ming Li
Wansen Wu
Yan Sun
Li Shen
Baoyuan Wu
Dacheng Tao
FedML
VLM
8
18
0
15 Mar 2023
Federated Automatic Differentiation
Federated Automatic Differentiation
Keith Rush
Zachary B. Charles
Zachary Garrett
FedML
24
1
0
18 Jan 2023
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging
  and Discharging Control
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control
Zixuan Zhang
Yuning Jiang
Yuanming Shi
Ye Shi
Wei Chen
39
13
0
04 Oct 2022
FedStack: Personalized activity monitoring using stacked federated
  learning
FedStack: Personalized activity monitoring using stacked federated learning
T. Shaik
Xiaohui Tao
Niall Higgins
R. Gururajan
Yuefeng Li
Xujuan Zhou
Usha R. Acharya
FedML
13
60
0
27 Sep 2022
Hypernetwork-based Personalized Federated Learning for
  Multi-Institutional CT Imaging
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging
Ziyuan Yang
Wenjun Xia
Zexin Lu
Yingyu Chen
Xiaoxia Li
Yi Zhang
FedML
OOD
8
28
0
08 Jun 2022
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
180
832
0
01 Mar 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
1