A federated causal discovery algorithm uses aggregated higher-order cumulants to identify source variables recursively and estimate causal strengths in both horizontal and vertical data partitions.
Causal discovery analysis: A promising tool in advancing precision medicine for eating disorders.International Journal of Eating Disorders, 56(11):2012–2021, 2023
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Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants
A federated causal discovery algorithm uses aggregated higher-order cumulants to identify source variables recursively and estimate causal strengths in both horizontal and vertical data partitions.