ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.10279
  4. Cited By
GPFL: Simultaneously Learning Global and Personalized Feature
  Information for Personalized Federated Learning

GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning

20 August 2023
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Jianyin Cao
Haibing Guan
ArXivPDFHTML

Papers citing "GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning"

15 / 15 papers shown
Title
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
Xinghao Wu
Jianwei Niu
Xuefeng Liu
Guogang Zhu
Jiayuan Zhang
Shaojie Tang
48
0
0
16 Mar 2025
Controlled privacy leakage propagation throughout overlapping grouped learning
Shahrzad Kiani
Franziska Boenisch
S. Draper
FedML
60
0
0
06 Mar 2025
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
Jianqing Zhang
Yang Janet Liu
Yang Hua
Jian Cao
Qiang Yang
FedML
25
0
0
09 Oct 2024
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer
  Disentanglement via Conflicting Gradients
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients
Minh Duong Nguyen
Khanh Le
Khoi Do
Nguyen H. Tran
Duc Nguyen
Chien Trinh
Zhaohui Yang
FedML
24
2
0
03 Oct 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
16
0
0
23 Jul 2024
Selective Knowledge Sharing for Personalized Federated Learning Under
  Capacity Heterogeneity
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity
Zheng Wang
Zheng Wang
Zhaopeng Peng
Zihui Wang
Cheng-i Wang
FedML
19
0
0
31 May 2024
Variational Bayes for Federated Continual Learning
Variational Bayes for Federated Continual Learning
Dezhong Yao
Sanmu Li
Yutong Dai
Zhiqiang Xu
Shengshan Hu
Peilin Zhao
Lichao Sun
FedML
23
0
0
23 May 2024
Eliminating Domain Bias for Federated Learning in Representation Space
Eliminating Domain Bias for Federated Learning in Representation Space
Jianqing Zhang
Yang Hua
Jian Cao
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
FedML
60
29
0
25 Nov 2023
Edge-cloud Collaborative Learning with Federated and Centralized
  Features
Edge-cloud Collaborative Learning with Federated and Centralized Features
Zexi Li
Qunwei Li
Yi Zhou
Wenliang Zhong
Guannan Zhang
Chao-Xiang Wu
FedML
14
6
0
12 Apr 2023
Revisiting Weighted Aggregation in Federated Learning with Neural
  Networks
Revisiting Weighted Aggregation in Federated Learning with Neural Networks
Zexi Li
Tao R. Lin
Xinyi Shang
Chao-Xiang Wu
FedML
30
58
0
14 Feb 2023
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
135
287
0
01 May 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
177
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
157
770
0
15 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
82
936
0
03 Feb 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
149
541
0
21 Jul 2020
1