License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.DISC.2023.13
URN: urn:nbn:de:0030-drops-191399
URL: https://drops.dagstuhl.de/opus/volltexte/2023/19139/
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Civit, Pierre ; Gilbert, Seth ; Guerraoui, Rachid ; Komatovic, Jovan ; Monti, Matteo ; Vidigueira, Manuel

Every Bit Counts in Consensus

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LIPIcs-DISC-2023-13.pdf (1 MB)


Abstract

Consensus enables n processes to agree on a common valid L-bit value, despite t < n/3 processes being faulty and acting arbitrarily. A long line of work has been dedicated to improving the worst-case communication complexity of consensus in partial synchrony. This has recently culminated in the worst-case word complexity of O(n²). However, the worst-case bit complexity of the best solution is still O(n²L + n²κ) (where κ is the security parameter), far from the Ω(nL + n²) lower bound. The gap is significant given the practical use of consensus primitives, where values typically consist of batches of large size (L > n).
This paper shows how to narrow the aforementioned gap. Namely, we present a new algorithm, DARE (Disperse, Agree, REtrieve), that improves upon the O(n²L) term via a novel dispersal primitive. DARE achieves O(n^{1.5}L + n^{2.5}κ) bit complexity, an effective √n-factor improvement over the state-of-the-art (when L > nκ). Moreover, we show that employing heavier cryptographic primitives, namely STARK proofs, allows us to devise DARE-Stark, a version of DARE which achieves the near-optimal bit complexity of O(nL + n²poly(κ)). Both DARE and DARE-Stark achieve optimal O(n) worst-case latency.

BibTeX - Entry

@InProceedings{civit_et_al:LIPIcs.DISC.2023.13,
  author =	{Civit, Pierre and Gilbert, Seth and Guerraoui, Rachid and Komatovic, Jovan and Monti, Matteo and Vidigueira, Manuel},
  title =	{{Every Bit Counts in Consensus}},
  booktitle =	{37th International Symposium on Distributed Computing (DISC 2023)},
  pages =	{13:1--13:26},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-301-0},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{281},
  editor =	{Oshman, Rotem},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/19139},
  URN =		{urn:nbn:de:0030-drops-191399},
  doi =		{10.4230/LIPIcs.DISC.2023.13},
  annote =	{Keywords: Byzantine consensus, Bit complexity, Latency}
}

Keywords: Byzantine consensus, Bit complexity, Latency
Collection: 37th International Symposium on Distributed Computing (DISC 2023)
Issue Date: 2023
Date of publication: 05.10.2023


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