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FedProc: Prototypical Contrastive Federated Learning on Non-IID data

FedProc: Prototypical Contrastive Federated Learning on Non-IID data

25 September 2021
Xutong Mu
Yulong Shen
Ke Cheng
Xueli Geng
Jiaxuan Fu
Tao Zhang
Zhiwei Zhang
    FedML
ArXivPDFHTML

Papers citing "FedProc: Prototypical Contrastive Federated Learning on Non-IID data"

15 / 15 papers shown
Title
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Zhuang Qi
Sijin Zhou
Lei Meng
Han Hu
Han Yu
Xiangxu Meng
FedML
CML
130
0
0
08 May 2025
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
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Yanbiao Ma
Wei-Ming Dai
Wenke Huang
Jiayi Chen
94
0
0
09 Mar 2025
Fair Federated Learning under Domain Skew with Local Consistency and
  Domain Diversity
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
Yuhang Chen
Wenke Huang
Mang Ye
FedML
40
16
0
26 May 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
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality
Huy Q. Le
Chu Myaet Thwal
Yu Qiao
Ye Lin Tun
Minh N. H. Nguyen
Choong Seon Hong
Choong Seon Hong
62
4
0
25 Jan 2024
Federated Model Aggregation via Self-Supervised Priors for Highly
  Imbalanced Medical Image Classification
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification
Marawan Elbatel
Hualiang Wang
Robert Martí
H. Fu
X. Li
FedML
32
8
0
27 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
36
244
0
20 Jul 2023
FedSSC: Shared Supervised-Contrastive Federated Learning
FedSSC: Shared Supervised-Contrastive Federated Learning
Sirui Hu
Ling Feng
Xiaohan Yang
Yongchao Chen
FedML
27
4
0
14 Jan 2023
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient
  Federated Learning
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning
Young Geun Kim
Carole-Jean Wu
FedML
12
5
0
30 Nov 2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Qianling Guo
Yong Qi
Saiyu Qi
Di Wu
FedML
21
5
0
16 Nov 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated
  Learning
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning
Rui Ye
Zhenyang Ni
Chenxin Xu
Jianyu Wang
Siheng Chen
Yonina C. Eldar
FedML
19
31
0
14 Oct 2022
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
87
946
0
03 Feb 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
247
782
0
05 Dec 2019
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,685
0
14 Apr 2018
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