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Federated Estimation of Causal Effects from Observational Data

Federated Estimation of Causal Effects from Observational Data

31 May 2021
Thanh Vinh Vo
T. Hoang
Young Lee
Tze-Yun Leong
    FedML
    CML
ArXivPDFHTML

Papers citing "Federated Estimation of Causal Effects from Observational Data"

6 / 6 papers shown
Title
Drift-Aware Federated Learning: A Causal Perspective
Yunjie Fang
Sheng Wu
Tao Yang
X. Wu
Bo Hu
FedML
55
0
0
13 Mar 2025
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
30
14
0
22 Sep 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
41
23
0
14 Feb 2023
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
L. Han
Jue Hou
Kelly Cho
R. Duan
Tianxi Cai
CML
FedML
CVBM
34
32
0
17 Dec 2021
Federated Causal Inference in Heterogeneous Observational Data
Federated Causal Inference in Heterogeneous Observational Data
Ruoxuan Xiong
Allison Koenecke
Michael A. Powell
Zhu Shen
Joshua T. Vogelstein
Susan Athey
FedML
CML
29
45
0
25 Jul 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
1,712
0
18 Mar 2020
1