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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"

3 / 3 papers shown
Title
Federated Deep Multi-View Clustering with Global Self-Supervision
Federated Deep Multi-View Clustering with Global Self-Supervision
Xinyue Chen
Jie Xu
Yazhou Ren
X. Pu
Ce Zhu
Xiao-lan Zhu
Zhifeng Hao
Lifang He
FedML
32
15
0
24 Sep 2023
Differentially Private Diffusion Models
Differentially Private Diffusion Models
Tim Dockhorn
Tianshi Cao
Arash Vahdat
Karsten Kreis
DiffM
32
91
0
18 Oct 2022
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
133
40
0
18 Jan 2021
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