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Federated Survival Analysis with Discrete-Time Cox Models

Federated Survival Analysis with Discrete-Time Cox Models

16 June 2020
M. Andreux
Andre Manoel
Romuald Menuet
C. Saillard
C. Simpson
    FedML
ArXivPDFHTML

Papers citing "Federated Survival Analysis with Discrete-Time Cox Models"

14 / 14 papers shown
Title
Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare
Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare
Navid Seidi
Satyaki Roy
Sajal Das
FedML
63
0
0
22 May 2025
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
493
42,407
0
03 Dec 2019
Deep Leakage from Gradients
Deep Leakage from Gradients
Ligeng Zhu
Zhijian Liu
Song Han
FedML
94
2,204
0
21 Jun 2019
Federated Learning with Non-IID Data
Federated Learning with Non-IID Data
Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
FedML
157
2,568
0
02 Jun 2018
Sparse Binary Compression: Towards Distributed Deep Learning with
  minimal Communication
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
MQ
55
214
0
22 May 2018
Adversarial Time-to-Event Modeling
Adversarial Time-to-Event Modeling
Paidamoyo Chapfuwa
Chenyang Tao
Chunyuan Li
C. Page
B. Goldstein
Lawrence Carin
Ricardo Henao
AAML
OOD
CML
60
92
0
09 Apr 2018
Classification and Disease Localization in Histopathology Using Only
  Global Labels: A Weakly-Supervised Approach
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach
P. Courtiol
Eric W. Tramel
Marc Sanselme
G. Wainrib
59
116
0
01 Feb 2018
Machine Learning for Survival Analysis: A Survey
Machine Learning for Survival Analysis: A Survey
Ping Wang
Yan Li
Chandan K. Reddy
CML
140
338
0
15 Aug 2017
Deep Survival Analysis
Deep Survival Analysis
Rajesh Ranganath
A. Perotte
Noémie Elhadad
David M. Blei
165
199
0
06 Aug 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
203
6,121
0
01 Jul 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
793
38,961
0
09 Mar 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,468
0
17 Feb 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,133
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
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