Optimal fair computation

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Abstract

A computation scheme among n parties is fair if no party obtains the computation result unless all other n − 1 parties obtain the same result. A fair computation scheme is optimistic if n honest parties can obtain the computation result without resorting to a trusted third party. We prove, for the first time, a tight lower-bound on the message complexity of optimistic fair computation for n parties among which n−1 can be malicious in an asynchronous network. We do so by relating the optimal message complexity of optimistic fair computation to the length of the shortest permutation sequence in combinatorics.

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Guerraoui, R., & Wang, J. (2016). Optimal fair computation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9888 LNCS, pp. 143–157). Springer Verlag. https://doi.org/10.1007/978-3-662-53426-7_11

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