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Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

6 December 2022
Yutong Dai
Z. Chen
Junnan Li
Shelby Heinecke
Lichao Sun
Ran Xu
    FedML
ArXivPDFHTML

Papers citing "Tackling Data Heterogeneity in Federated Learning with Class Prototypes"

12 / 12 papers shown
Title
Federated Client-tailored Adapter for Medical Image Segmentation
Federated Client-tailored Adapter for Medical Image Segmentation
Guyue Hu
Siyuan Song
Yukun Kang
Z. Yin
Gangming Zhao
Chenglong Li
Jin Tang
FedML
MedIm
177
0
0
25 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Norah Alballa
Wenxuan Zhang
Ziquan Liu
A. Abdelmoniem
Mohamed Elhoseiny
Marco Canini
38
0
0
12 Apr 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data
Shanshan Yan
Zexi Li
Chao-Xiang Wu
Meng Pang
Yang Lu
Yan Yan
Hanzi Wang
FedML
61
0
0
10 Mar 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang
Hyeon-Seo Park
Si-Hyeon Lee
FedML
169
0
0
10 Feb 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
Yanbing Zhou
Xiangmou Qu
Chenlong You
Jiyang Zhou
Jingyue Tang
Xin Zheng
Chunmao Cai
Yingbo Wu
FedML
50
1
0
09 Jan 2025
Personalized federated learning based on feature fusion
Personalized federated learning based on feature fusion
Wolong Xing
Zhenkui Shi
Hongyan Peng
Xiantao Hu
Xianxian Li
FedML
33
0
0
24 Jun 2024
Taming Cross-Domain Representation Variance in Federated Prototype
  Learning with Heterogeneous Data Domains
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
Lei Wang
Jieming Bian
Letian Zhang
C. L. P. Chen
Jie Xu
29
7
0
14 Mar 2024
No Fear of Classifier Biases: Neural Collapse Inspired Federated
  Learning with Synthetic and Fixed Classifier
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier
Zexi Li
Xinyi Shang
Rui He
Tao R. Lin
Chao Wu
FedML
41
54
0
17 Mar 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
153
459
0
01 May 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 2021
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
253
782
0
05 Dec 2019
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,247
0
09 Jun 2011
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