Federated Granger causality uncertainty reaches a steady state determined solely by aleatoric client data statistics, independent of epistemic priors, supporting reliable hypothesis testing for cross-client interactions.
N4sid: Subspace algorithms for the identification of combined deterministic-stochastic systems.Autom., 30:75–93, 1994
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Towards Uncertainty-Aware Federated Granger Causal Learning
Federated Granger causality uncertainty reaches a steady state determined solely by aleatoric client data statistics, independent of epistemic priors, supporting reliable hypothesis testing for cross-client interactions.