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Federated Estimation of Causal Effects from Observational Data

Federated Estimation of Causal Effects from Observational Data

Thanh Vinh Vo
T. Hoang
Young Lee
Tze-Yun Leong
ArXiv (abs)PDFHTML

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

5 / 5 papers shown
Title
Drift-Aware Federated Learning: A Causal Perspective
Yunjie Fang
Sheng Wu
Tao Yang
X. Wu
Bo Hu
FedML
146
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
58
15
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
105
26
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
CMLFedMLCVBM
101
33
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
FedMLCML
96
49
0
25 Jul 2021

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