A federated linear state-space framework learns cross-client Granger causality from shared low-dimensional states, with convergence and differential-privacy guarantees.
Stochastic modeling and real-time prognostics for multi-component systems with degradation rate interactions
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Federated Granger Causality Learning for Interdependent Clients with State Space Representation
A federated linear state-space framework learns cross-client Granger causality from shared low-dimensional states, with convergence and differential-privacy guarantees.