RF-augmented reality (RF-AR) wearables enabledetection of threats, casualties and anomalies, but they rely ona set of alert thresholds tailored to mission context and userphysiology. Presently, these thresholds are either hard codedor tuned manually, limiting adaptability across individuals andenvironments. Centralizing raw RF biomarker data to trainadaptive models raises privacy and compliance concerns, as rawvitals and location … Continue reading Federated Adaptation: Personalising RF Thresholds without Centralising Raw Data