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cs.LG2026
MoE-Spec: Expert Budgeting for Efficient Speculative Decoding
Bradley McDanel, Steven Li, Sruthikesh Surineni +1
Speculative decoding accelerates Large Language Model (LLM) inference by verifying multiple drafted tokens in parallel. However, for Mixture-of-Experts (MoE) models, this paralleli…
cs.LG2025
DSD: A Distributed Speculative Decoding Solution for Edge-Cloud Agile Large Model Serving
Fengze Yu, Leshu Li, Brad McDanel +1
Large language model (LLM) inference often suffers from high decoding latency and limited scalability across heterogeneous edge-cloud environments. Existing speculative decoding (S…