EFX Allocations and Orientations on Bipartite Multi-graphs: A Complete Picture
Mahyar Afshinmehr, Alireza Danaei, Mehrafarin Kazemi, Kurt Mehlhorn, Nidhi Rathi

TL;DR
This paper proves the existence of envy-free up to any item (EFX) allocations on bipartite multi-graphs for certain valuation classes, introduces algorithms for computing these allocations, and characterizes the conditions for EFX orientations.
Contribution
It extends EFX existence results to bipartite multi-graphs and multi-cycles, providing algorithms and a complete characterization of EFX orientations.
Findings
EFX allocations exist on bipartite multi-graphs for monotone valuations.
Pseudo-polynomial algorithms are provided for computing EFX allocations.
Determining the existence of EFX orientations is NP-complete.
Abstract
We consider the fundamental problem of fairly allocating a set of indivisible items among agents having valuations that are represented by a multi-graph -- here, agents appear as vertices and items as edges between them and each vertex (agent) only values the set of its incident edges (items). The goal is to find a fair, i.e., envy-free up to any item (EFX) allocation. This model has recently been introduced by Christodoulou et al. (EC-23) where they show that EFX allocations always exist on simple graphs for monotone valuations, i.e., where any two agents can share at most one edge (item). A natural question arises as to what happens when we go beyond simple graphs and study various classes of multi-graphs? We answer the above question affirmatively for the valuation class of bipartite multi-graphs and multi-cycles. The main contribution of this work is to establish the existence of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsConstraint Satisfaction and Optimization
