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Federated Flight Anomaly Detection with Self-Supervised Forecasting: A Flight-Disjoint Evaluation

Reliable anomaly detection is essential for the safe operation of unmanned aerial vehicles (UAVs), particularly in distributed settings where flight telemetry is generated across multiple vehicles or operational sessions and cannot always be centrally collected. This work investigates UAV anomaly detection using models...