Federated Binary Gating with Server-Side Vision-Language Inference for Surveillance Anomaly Classification
A hybrid two-stage architecture that combines a federated binary convolutional neural network (CNN) gate with server-side zero-shot VLM inference and routing rules can be adjusted to trade server-side VLM usage for higher anomaly sensitivity is proposed.
Côme-Alexis Puech, Sébastien Thuau, A. Gran et al.
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