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Combating Data Imbalances in Federated Semi-supervised Learning with
  Dual Regulators

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators

11 July 2023
Sikai Bai
Shuaicheng Li
Weiming Zhuang
Jie M. Zhang
Song Guo
Kunlin Yang
Jun Hou
Shuai Zhang
Junyu Gao
Shuai Yi
    FedML
ArXivPDFHTML

Papers citing "Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators"

10 / 10 papers shown
Title
Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning
Zhongwei Wang
Tong Wu
Zhiyong Chen
Liang Qian
Yin Xu
Meixia Tao
FedML
31
0
0
04 Jan 2025
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias
  in Federated Semi-Supervised Learning
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
Guogang Zhu
Xuefeng Liu
Xinghao Wu
Shaojie Tang
Chao Tang
Jianwei Niu
Hao Su
FedML
31
1
0
30 May 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain
  Generalization in Federated Learning
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
Sikai Bai
Jiewei Zhang
Shuaicheng Li
Song Guo
Jingcai Guo
Jun Hou
Tao Han
Xiaocheng Lu
FedML
27
14
0
11 Mar 2024
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
215
861
0
15 Oct 2021
SSFL: Tackling Label Deficiency in Federated Learning via Personalized
  Self-Supervision
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision
Chaoyang He
Zhengyu Yang
Erum Mushtaq
Sunwoo Lee
Mahdi Soltanolkotabi
A. Avestimehr
FedML
90
36
0
06 Oct 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
784
0
15 Feb 2021
Performance Optimization for Federated Person Re-identification via
  Benchmark Analysis
Performance Optimization for Federated Person Re-identification via Benchmark Analysis
Weiming Zhuang
Yonggang Wen
Xuesen Zhang
Xin Gan
Daiying Yin
Dongzhan Zhou
Shuai Zhang
Shuai Yi
FedML
76
95
0
26 Aug 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
245
655
0
23 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
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
1