Paper 2024/1750

Robust Double Auctions for Resource Allocation

Arthur Lazzaretti, Yale University
Charalampos Papamanthou, Yale University, Lagrange Labs
Ismael Hishon-Rezaizadeh, Lagrange Labs
Abstract

In a zero-knowledge proof market, we have two sides. On one side, bidders with proofs of different sizes and some private value to have this proof computed. On the other side, we have distributors (also called sellers) which have compute available to process the proofs by the bidders, and these distributors have a certain private cost to process these proofs (dependent on the size). More broadly, this setting applies to any online resource allocation where we have bidders who desire a certain amount of a resource and distributors that can provide this resource. In this work, we study how to devise double auctions for this setting which are truthful for users, weak group strategy proof, weak budget balanced, computationally efficient, and achieve a good approximation of the maximum welfare possible by the set of bids. We denote such auctions as $\textit{robust}$.

Metadata
Available format(s)
PDF
Category
Foundations
Publication info
Preprint.
Keywords
Auctions
Contact author(s)
arthur lazzaretti @ yale edu
charalampos papamanthou @ yale edu
ismael @ lagrange dev
History
2024-10-28: approved
2024-10-26: received
See all versions
Short URL
https://ia.cr/2024/1750
License
Creative Commons Attribution-NonCommercial
CC BY-NC

BibTeX

@misc{cryptoeprint:2024/1750,
      author = {Arthur Lazzaretti and Charalampos Papamanthou and Ismael Hishon-Rezaizadeh},
      title = {Robust Double Auctions for Resource Allocation},
      howpublished = {Cryptology {ePrint} Archive, Paper 2024/1750},
      year = {2024},
      url = {https://eprint.iacr.org/2024/1750}
}
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