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Towards Practical Federated Causal Structure Learning

Towards Practical Federated Causal Structure Learning

15 June 2023
Zhaoyu Wang
Pingchuan Ma
Shuai Wang
ArXivPDFHTML

Papers citing "Towards Practical Federated Causal Structure Learning"

4 / 4 papers shown
Title
Causality-Aided Trade-off Analysis for Machine Learning Fairness
Causality-Aided Trade-off Analysis for Machine Learning Fairness
Zhenlan Ji
Pingchuan Ma
Shuai Wang
Yanhui Li
FaML
13
7
0
22 May 2023
Differentially Private Estimation of Heterogeneous Causal Effects
Differentially Private Estimation of Heterogeneous Causal Effects
Fengshi Niu
Harsha Nori
B. Quistorff
R. Caruana
Donald Ngwe
A. Kannan
CML
12
12
0
22 Feb 2022
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning
  on Non-IID Data
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data
N. Mhaisen
Alaa Awad
Amr M. Mohamed
A. Erbad
M. Guizani
FedML
40
12
0
10 Dec 2020
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
156
553
0
27 Jul 2020
1