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Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient
  Balancer

Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer

11 October 2023
Zikai Xiao
Zihan Chen
Songshan Liu
Hualiang Wang
Yang Feng
Jinxiang Hao
Qiufeng Wang
Jian Wu
Howard H. Yang
Zuo-Qiang Liu
    FedML
ArXivPDFHTML

Papers citing "Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer"

5 / 5 papers shown
Title
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
Personalized Federated Learning on Long-Tailed Data via Adversarial
  Feature Augmentation
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation
Yang Lu
Pinxin Qian
Gang Huang
Hanzi Wang
45
11
0
27 Mar 2023
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
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
92
946
0
03 Feb 2021
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
269
457
0
11 Mar 2020
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