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cs.DC2026
Multi-SPIN: Multi-Access Speculative Inference for Cooperative Token Generation at the Edge
Haotian Zheng, Zhanwei Wang, Mingyao Cui +3
Speculative inference (SPIN) was originally developed as an efficient architecture to accelerate Large Language Models (LLMs). In this work, we propose its distributed deployment t…
cs.DC2025
Optimal Expert Selection for Distributed Mixture-of-Experts at the Wireless Edge
Shengling Qin, Hai Wu, Hongyang Du +1
The emergence of distributed Mixture-of-Experts (DMoE) systems, which deploy expert models at edge nodes, offers a pathway to achieving connected intelligence in sixth-generation (…