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FedECA: A Federated External Control Arm Method for Causal Inference
  with Time-To-Event Data in Distributed Settings

FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings

28 November 2023
Jean Ogier du Terrail
Quentin Klopfenstein
Honghao Li
Imke Mayer
Nicolas Loiseau
Mohammad Hallal
Félix Balazard
M. Andreux
ArXivPDFHTML

Papers citing "FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings"

17 / 17 papers shown
Title
Real-World Federated Learning in Radiology: Hurdles to overcome and
  Benefits to gain
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain
Markus R. Bujotzek
Unal Akunal
Stefan Denner
Peter Neher
M. Zenk
...
Jens Kleesiek
Tobias Penzkofer
Klaus H. Maier-Hein
R. Braren
Andreas Bucher
AI4CE
57
2
0
15 May 2024
Multiply Robust Federated Estimation of Targeted Average Treatment
  Effects
Multiply Robust Federated Estimation of Targeted Average Treatment Effects
Larry Han
Zhu Shen
Jose Zubizarreta
FedML
45
16
0
22 Sep 2023
Randomized Quantization is All You Need for Differential Privacy in
  Federated Learning
Randomized Quantization is All You Need for Differential Privacy in Federated Learning
Yeojoon Youn
Zihao Hu
Juba Ziani
Jacob D. Abernethy
FedML
47
21
0
20 Jun 2023
Industry-Scale Orchestrated Federated Learning for Drug Discovery
Industry-Scale Orchestrated Federated Learning for Drug Discovery
M. Oldenhof
G. Ács
Balázs Pejó
A. Schuffenhauer
Nicholas Holway
...
Yves Moreau
Ola Engkvist
Hugo Ceulemans
Camille Marini
M. Galtier
FedML
81
40
0
17 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in
  Realistic Healthcare Settings
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Jean Ogier du Terrail
Samy Ayed
Edwige Cyffers
Felix Grimberg
Chaoyang He
...
Sai Praneeth Karimireddy
Marco Lorenzi
Giovanni Neglia
Marc Tommasi
M. Andreux
FedML
91
156
0
10 Oct 2022
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati
Ujjwal Baid
Brandon Edwards
Micah J. Sheller
Shih-Han Wang
...
Prashant Shah
Bjoern Menze
J. Barnholtz-Sloan
Jason Martin
Spyridon Bakas
FedML
AI4CE
106
216
0
22 Apr 2022
Benchmarking missing-values approaches for predictive models on health
  databases
Benchmarking missing-values approaches for predictive models on health databases
Alexandre Perez-Lebel
Gaël Varoquaux
Marine Le Morvan
Julie Josse
J B Poline
AI4TS
103
37
0
17 Feb 2022
What's a good imputation to predict with missing values?
What's a good imputation to predict with missing values?
Marine Le Morvan
Julie Josse
Erwan Scornet
Gaël Varoquaux
AI4TS
72
65
0
01 Jun 2021
Distributed Second Order Methods with Fast Rates and Compressed
  Communication
Distributed Second Order Methods with Fast Rates and Compressed Communication
Rustem Islamov
Xun Qian
Peter Richtárik
59
53
0
14 Feb 2021
A Survey on Causal Inference
A Survey on Causal Inference
Liuyi Yao
Zhixuan Chu
Sheng Li
Yaliang Li
Jing Gao
Aidong Zhang
CML
89
507
0
05 Feb 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
248
6,261
0
10 Dec 2019
Applied Federated Learning: Improving Google Keyboard Query Suggestions
Applied Federated Learning: Improving Google Keyboard Query Suggestions
Timothy Yang
Galen Andrew
Hubert Eichner
Haicheng Sun
Wei Li
Nicholas Kong
Daniel Ramage
F. Beaufays
FedML
87
626
0
07 Dec 2018
Similarity encoding for learning with dirty categorical variables
Similarity encoding for learning with dirty categorical variables
Patricio Cerda
Gaël Varoquaux
Balázs Kégl
CML
54
206
0
04 Jun 2018
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
255
4,135
0
18 Oct 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
205
6,121
0
01 Jul 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
MissForest - nonparametric missing value imputation for mixed-type data
MissForest - nonparametric missing value imputation for mixed-type data
D. Stekhoven
Peter Buhlmann
220
4,318
0
04 May 2011
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