Ali Hussein Khalaf al-Sammarraie

Dynamic Token Pruning for Efficient Cross-Modal Alignment in Edge-IoT Video Analytics Systems

This study presents Dynamic Token Pruning for Cross-Modal Alignment (DTP-CMA), a framework that achieves faster inference speeds while maintaining semantic fidelity and positions DTP-CMA as a strong candidate framework across diverse edge-deployable multimodal video analytics challenges.