Ting Yan

Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants

Federated causal discovery aims to uncover causal relationships while protecting data privacy, with significant real-world applications. Existing methods focus on horizontal federated settings where clients share the same variables but have different samples. However, in practice, clients may have d