Research Compliance

Tight bounds for fractional and randomized truthful scheduling

Nov 4, 2026 Source ↗

Key Insights

We resolve one of the longest-standing open problems in algorithmic mechanism design by showing that randomization cannot yield a sublinear approximation for truthful scheduling on unrelated machines,.

Design

Cite this synthesis DOI: 10.48550/arXiv.2611.06642 ↗

Show formatted citation

@misc{ acaciacompliance-research-tight-bounds-for-fractional-and-randomized-truthful-scheduli,
  title = { Tight bounds for fractional and randomized truthful scheduling },
  author = { Leszek },
  year = { 2026 },
  doi = { 10.48550/arXiv.2611.06642 },
  url = { http://arxiv.org/abs/2611.06642v1 },
  note = {Summarized and classified by AcaciaFund}
}

TY  - GEN
TI  - Tight bounds for fractional and randomized truthful scheduling
AU  - Leszek
PY  - 2026
DO  - 10.48550/arXiv.2611.06642
UR  - http://arxiv.org/abs/2611.06642v1
ER  -

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Overview

We resolve one of the longest-standing open problems in algorithmic mechanism design by showing that randomization cannot yield a sublinear approximation for truthful scheduling on unrelated machines,

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Article Metadata

Evergreen Synthesized

aml

Design

SQI 0.750