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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

4 August 2023
Alberto Archetti
F. Ieva
Matteo Matteucci
    FedML
ArXivPDFHTML

Papers citing "Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics"

12 / 12 papers shown
Title
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis
FPBoost: Fully Parametric Gradient Boosting for Survival Analysis
Alberto Archetti
Eugenio Lomurno
Diego Piccinotti
Matteo Matteucci
42
2
0
20 Sep 2024
Advancing oncology with federated learning: transcending boundaries in
  breast, lung, and prostate cancer. A systematic review
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review
A. Ankolekar
S. Boie
M. Abdollahyan
E. Gadaleta
S. A. Hasheminasab
...
M. Bussmann
S. Khalid
H. Kruger
Philippe Lambin
G. Papanastasiou
AI4CE
26
1
0
08 Aug 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
Multimodal Federated Learning in Healthcare: a Review
Multimodal Federated Learning in Healthcare: a Review
Jacob Thrasher
Alina Devkota
Prasiddha Siwakotai
Rohit Chivukula
Pranav Poudel
Chaunbo Hu
Binod Bhattarai
P. Gyawali
30
7
0
14 Oct 2023
SecureFedYJ: a safe feature Gaussianization protocol for Federated
  Learning
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning
Tanguy Marchand
Boris Muzellec
C. Béguier
Jean Ogier du Terrail
M. Andreux
FedML
41
9
0
04 Oct 2022
FedPseudo: Pseudo value-based Deep Learning Models for Federated
  Survival Analysis
FedPseudo: Pseudo value-based Deep Learning Models for Federated Survival Analysis
Md Mahmudur Rahman
S. Purushotham
OOD
FedML
35
7
0
12 Jul 2022
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning
Eugenio Lomurno
Alberto Archetti
Lorenzo Cazzella
Stefano Samele
Leonardo Di Perna
Matteo Matteucci
FedML
27
18
0
24 Sep 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
187
412
0
14 Jul 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
92
946
0
03 Feb 2021
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,707
0
18 Mar 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
304
10,618
0
19 Feb 2017
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