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A Survey on Class Imbalance in Federated Learning

A Survey on Class Imbalance in Federated Learning

21 March 2023
Jing Zhang
Chuanwen Li
Jianzgong Qi
Jiayuan He
    FedML
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Papers citing "A Survey on Class Imbalance in Federated Learning"

4 / 4 papers shown
Title
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning
Xiaoyu Gan
Xizi Chen
Jingyang Zhu
Xiaomeng Wang
Jingbo Jiang
Chi-Ying Tsui
FedML
82
0
0
23 Nov 2024
FedDistill: Global Model Distillation for Local Model De-Biasing in
  Non-IID Federated Learning
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning
Changlin Song
Divya Saxena
Jiannong Cao
Yuqing Zhao
FedML
23
3
0
14 Apr 2024
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in
  Federated Learning Client Selection
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection
Shulai Zhang
Zirui Li
Quan Chen
Wenli Zheng
Jingwen Leng
M. Guo
FedML
54
32
0
08 Sep 2021
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,150
0
09 Jun 2011
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