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Towards More Efficient Data Valuation in Healthcare Federated Learning
  using Ensembling

Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling

12 September 2022
Sourav Kumar
A. Lakshminarayanan
Ken Chang
Feri Guretno
Ivan Ho Mien
Jayashree Kalpathy-Cramer
Pavitra Krishnaswamy
Praveer Singh
    FedML
ArXiv (abs)PDFHTML

Papers citing "Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling"

6 / 6 papers shown
Title
Semivalue-based data valuation is arbitrary and gameable
Semivalue-based data valuation is arbitrary and gameable
Hannah Diehl
Ashia C. Wilson
TDI
35
0
0
14 Jun 2025
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning
Nurbek Tastan
Samuel Horváth
Karthik Nandakumar
FedML
118
0
0
21 Jan 2025
Recent Methodological Advances in Federated Learning for Healthcare
Recent Methodological Advances in Federated Learning for Healthcare
Fan Zhang
Daniel Kreuter
Yichen Chen
Sören Dittmer
Samuel Tull
...
James H. F. Rudd
J. A. Aston
Carola-Bibiane Schönlieb
Nicholas S. Gleadall
Michael Roberts
FedMLOOD
76
10
0
04 Oct 2023
Scalable Data Point Valuation in Decentralized Learning
Scalable Data Point Valuation in Decentralized Learning
Konstantin D. Pandl
Chun-Yin Huang
Ivan Beschastnikh
Xiaoxiao Li
Scott Thiebes
Ali Sunyaev
FedMLTDI
60
0
0
01 May 2023
Fair Federated Medical Image Segmentation via Client Contribution
  Estimation
Fair Federated Medical Image Segmentation via Client Contribution Estimation
Meirui Jiang
H. Roth
Wenqi Li
Dong Yang
Can Zhao
V. Nath
Daguang Xu
Qianming Dou
Ziyue Xu
FedML
74
53
0
29 Mar 2023
Reward Systems for Trustworthy Medical Federated Learning
Reward Systems for Trustworthy Medical Federated Learning
Konstantin D. Pandl
Florian Leiser
Scott Thiebes
Ali Sunyaev
OODFedML
75
7
0
01 May 2022
1