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eess.SP2025★ 5 cited
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference
Cheng Yuan, Zhening Liu, Jiashu Lv +4
With the rapid development of large multimodal models (LMMs), multimodal understanding applications are emerging. As most LMM inference requests originate from edge devices with li…
eess.SP2024★ 2 cited
AI Flow at the Network Edge
Jiawei Shao, Xuelong Li
Recent advancements in large language models (LLMs) and their multimodal variants have led to remarkable progress across various domains, demonstrating impressive capabilities and…