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An Experimental Study of Data Heterogeneity in Federated Learning
  Methods for Medical Imaging

An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging

18 July 2021
Liangqiong Qu
N. Balachandar
D. Rubin
ArXivPDFHTML

Papers citing "An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging"

3 / 3 papers shown
Title
FedNoisy: Federated Noisy Label Learning Benchmark
FedNoisy: Federated Noisy Label Learning Benchmark
Siqi Liang
Jintao Huang
Junyuan Hong
Dun Zeng
Jiayu Zhou
Zenglin Xu
FedML
40
7
0
20 Jun 2023
Federated Learning for Medical Applications: A Taxonomy, Current Trends,
  Challenges, and Future Research Directions
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
43
90
0
05 Aug 2022
On Privacy and Personalization in Cross-Silo Federated Learning
On Privacy and Personalization in Cross-Silo Federated Learning
Ziyu Liu
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FedML
22
51
0
16 Jun 2022
1