Towards Privacy-Aware Causal Structure Learning in Federated Setting

13 November 2022

Papers citing "Towards Privacy-Aware Causal Structure Learning in Federated Setting"

7 / 7 papers shown

Title
Interventional Causal Structure Discovery over Graphical Models with Convergence and Optimality Guarantees Qiu Chengbo Yang Kai CML 24 0 0 09 Aug 2024
CCBNet: Confidential Collaborative Bayesian Networks Inference Abele Malan Jérémie Decouchant Thiago Guzella Lydia Y. Chen 18 0 0 23 May 2024
Federated Causal Discovery from Heterogeneous Data Loka Li Ignavier Ng Gongxu Luo Biwei Huang Guan-Hong Chen Tongliang Liu Bin Gu Kun Zhang FedML 32 5 0 20 Feb 2024
Federated Causal Discovery From Interventions Amin Abyaneh Nino Scherrer Patrick Schwab Stefan Bauer Bernhard Schölkopf Arash Mehrjou FedML 16 0 0 07 Nov 2022
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 75 116 0 18 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 101 254 0 29 Sep 2019
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 208 628 0 20 Feb 2013