Method Drift›Speculative decoding

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DiP-SD

DiP-SD: Distributed Pipelined Speculative Decoding for Efficient LLM Inference at the Edge

Speculative decoding · first seen Apr 22, 2026

current frontier — recent, not yet superseded in the knowledge base

0 papers critique it · 0 beat it on benchmarks

Newer alternatives

Recent methods in the same sub-problem, not yet superseded in the knowledge base.

PipeSD PipeSD: An Efficient Cloud-Edge Collaborative Pipeline Inference Framework with Speculative Decoding
May 13, 2026
DiP-SD DiP-SD: Distributed Pipelined Speculative Decoding for Efficient LLM Inference at the Edge
Apr 22, 2026
PicoSpec A Pipelined Collaborative Speculative Decoding Framework for Efficient Edge-Cloud LLM Inference
Mar 19, 2026