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Separating the communication complexity of truthful and non-truthful combinatorial auctions

Author(s): Assadi, Sepehr; Khandeparkar, Hrishikesh; Saxena, Raghuvansh R; Weinberg, S Matthew

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Abstract: We prove the first separation in the approximation guarantee achievable by truthful and non-truthful combinatorial auctions with polynomial communication. Specifically, we prove that any truthful auction guaranteeing a (34−1240+є)-approximation for two buyers with XOS valuations over m items requires exp(Ω(ε2 · m)) communication whereas a non-truthful auction by Feige [J. Comput. 2009] is already known to achieve a 34-approximation in (m) communication. We obtain our lower bound for truthful auctions by proving that any simultaneous auction (not necessarily truthful) which guarantees a (34−1240+ε)-approximation requires communication exp(Ω(ε2 · m)), and then apply the taxation complexity framework of Dobzinski [FOCS 2016] to extend the lower bound to all truthful auctions (including interactive truthful auctions).
Publication Date: Jun-2020
Citation: Assadi, Sepehr, Hrishikesh Khandeparkar, Raghuvansh R. Saxena, and S. Matthew Weinberg. "Separating the communication complexity of truthful and non-truthful combinatorial auctions." In Annual ACM SIGACT Symposium on Theory of Computing (2020): pp. 1073-1085. doi:10.1145/3357713.3384267
DOI: 10.1145/3357713.3384267
Pages: 1073 - 1085
Type of Material: Conference Article
Journal/Proceeding Title: Annual ACM SIGACT Symposium on Theory of Computing
Version: Author's manuscript



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