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A Differentially Private Probabilistic Framework for Modeling the
  Variability Across Federated Datasets of Heterogeneous Multi-View
  Observations

A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations

15 April 2022
Irene Balelli
Santiago Silva
Marco Lorenzi
    FedML
ArXivPDFHTML

Papers citing "A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations"

1 / 1 papers shown
Title
Reducing bias and increasing utility by federated generative modeling of
  medical images using a centralized adversary
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary
Jean-Francois Rajotte
Soumendu Sundar Mukherjee
Caleb Robinson
Anthony Ortiz
Christopher West
J. L. Ferres
R. Ng
FedML
MedIm
130
40
0
18 Jan 2021
1