A Meta AutoEncoder framework enables adaptive, progressive compression of visual features for low-latency edge-cloud VLM inference without model fine-tuning.
Collaborative edge-to-server inference for vision-language models
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Progressive Semantic Communication for Efficient Edge-Cloud Vision-Language Models
A Meta AutoEncoder framework enables adaptive, progressive compression of visual features for low-latency edge-cloud VLM inference without model fine-tuning.