DSSD (Speculative decoding): cited as a baseline — critiqued by newer work, not yet beaten on a benchmark here. 1 paper(s) critique it, 0 beat it on benchmarks — #100 of 151 most-superseded. Sub-problem: cluster led by EdgeLLM. Newer alternatives in the same sub-problem include PipeSD, DiP-SD, PicoSpec.

Speculative decoding

DSSD

Superseded baseline#100 of 151 most-superseded

Cited as a baseline — critiqued by newer work, not yet beaten on a benchmark here

1 papers critique it · 0 beat it on benchmarks

What papers say

Verbatim critique sentences, each from a paper that cites DSSD as a baseline.

While DSSD ning2025dssdreduces uplink data through local re-sampling, it remains a serial "stop-and-wait" architecture strictly bound by network RTT.

— A Pipelined Collaborative Speculative Decoding Framework for Efficient Edge-Cloud LLM Inference

What to use instead

Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.

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