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.
Distributed federated kalman filter fusion over multi-sensor unreliable networked systems.IEEE Transactions on Circuits and Systems I: Regular Papers, 63(10):1714–1725, 2016
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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.