AI RESEARCH
Progressive Semantic Communication for Efficient Edge-Cloud Vision-Language Models
arXiv CS.AI
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ArXi:2604.26508v1 Announce Type: cross Deploying Vision-Language Models (VLMs) on edge devices remains challenging due to their substantial computational and memory demands, which exceed the capabilities of resource-constrained embedded platforms. Conversely, fully offloading inference to the cloud is often impractical in bandwidth-limited environments, where transmitting raw visual data