AINeutralarXiv – CS AI · 6h ago6/10
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Regret-Based Federated Causal Discovery with Unknown Interventions
Researchers introduce I-PERI, a federated causal discovery algorithm that handles unknown client-level interventions across decentralized systems. The method advances privacy-preserving causal inference by recovering tighter equivalence classes when clients operate under heterogeneous, undisclosed policies—addressing a critical gap between theoretical causal discovery methods and real-world deployment constraints.