Federated Causal Discovery via Regression-Directed Cumulants
The FedRCD family of causal discovery algorithms are introduced, and three variants that trade off communication rounds against algebraic noise are investigated, which effectively support exact unlearning at any granularity.
Pablo Torrijos, Fabio Stella, José A. Gámez et al.
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