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.
Federated causal discovery with missing data in a multicentric study on endometrial cancer.Available at SSRN 4998504, 2024
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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.