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cs.DC2026
MoEless: Efficient MoE LLM Serving with Serverless Experts
Hanfei Yu, Bei Ouyang, Shwai He +2
Large Language Models (LLMs) increasingly adopt Mixture-of-Experts (MoE) architectures to scale efficiently under stringent resource constraints. However, MoE's sparse activation c…
cs.DC2026
Venus: An Efficient Edge Memory-and-Retrieval System for VLM-based Online Video Understanding
Shengyuan Ye, Bei Ouyang, Tianyi Qian +5
Vision-language models (VLMs) have demonstrated impressive multimodal comprehension capabilities and are being deployed in an increasing number of online video understanding applic…