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Practical Challenges in Differentially-Private Federated Survival
  Analysis of Medical Data

Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data

8 February 2022
Shadi Rahimian
Raouf Kerkouche
I. Kurth
Mario Fritz
    FedML
ArXivPDFHTML

Papers citing "Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data"

4 / 4 papers shown
Title
Federated Neural Nonparametric Point Processes
Federated Neural Nonparametric Point Processes
Hui Chen
Hengyu Liu
Hengyu Liu
Xuhui Fan
Zhilin Zhao
Feng Zhou
Christopher J. Quinn
Longbing Cao
FedML
38
0
0
08 Oct 2024
Addressing Data Heterogeneity in Federated Learning of Cox Proportional
  Hazards Models
Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models
Navid Seidi
Satyaki Roy
Sajal Kumar Das
Ardhendu Shekhar Tripathy
33
2
0
20 Jul 2024
Scaling Survival Analysis in Healthcare with Federated Survival Forests:
  A Comparative Study on Heart Failure and Breast Cancer Genomics
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics
Alberto Archetti
F. Ieva
Matteo Matteucci
FedML
19
10
0
04 Aug 2023
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
115
1,231
0
02 Jun 2016
1