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FLea: Addressing Data Scarcity and Label Skew in Federated Learning via
  Privacy-preserving Feature Augmentation

FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation

13 June 2024
Tong Xia
Abhirup Ghosh
Xinchi Qiu
Cecilia Mascolo
ArXivPDFHTML

Papers citing "FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation"

4 / 4 papers shown
Title
FedBR: Improving Federated Learning on Heterogeneous Data via Local
  Learning Bias Reduction
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
Yongxin Guo
Xiaoying Tang
Tao R. Lin
FedML
49
27
0
26 May 2022
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
151
459
0
01 May 2021
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
945
0
03 Feb 2021
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
175
2,577
0
28 Mar 2008
1