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FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with
  Diverse Labels

FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels

10 July 2024
Malte Tolle
Fernando Navarro
Sebastian Eble
Ivo Wolf
Bjoern H. Menze
Sandy Engelhardt
    FedML
ArXivPDFHTML

Papers citing "FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels"

3 / 3 papers shown
Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
110
0
0
04 May 2025
Posterior temperature optimized Bayesian models for inverse problems in
  medical imaging
Posterior temperature optimized Bayesian models for inverse problems in medical imaging
M. Laves
Malte Tolle
Alexander Schlaefer
Sandy Engelhardt
35
10
0
02 Feb 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1