mlsanityData to 14 Oct 2026

Communication Complexity of Discrete Fair Division

arXiv 1711.04066 ↗First posted 11 Nov 2017cs.GTcited by 1

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Abstract (arXiv)

We initiate the study of the communication complexity of fair division with indivisible goods. We focus on some of the most well-studied fairness notions (envy-freeness, proportionality, and approximations thereof) and valuation classes (submodular, subadditive and unrestricted). Within these parameters, our results completely resolve whether the communication complexity of computing a fair allocation (or determining that none exist) is polynomial or exponential (in the number of goods), for every combination of fairness notion, valuation class, and number of players, for both deterministic and randomized protocols.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 11 Nov 2017.

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