Federated Learning of Nonlinear Temporal Dynamics with Graph Attention-based Cross-Client Interpretability

Networks of modern industrial systems are increasingly monitored by distributed sensors, where each system comprises multiple subsystems that generate high-dimensional time-series. These subsystems are often interdependent, making it important to understand how temporal patterns observed at one subs