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.
Prob- abilistic computational causal discovery for systems biology.Uncertainty in biology: a computa- tional modeling approach, pages 33–73, 2016
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.