Multiparty equality in the local broadcast model
Louis Esperet, Jean-Florent Raymond
TL;DR
This work analyzes multiparty equality in the local broadcast model through graph topology. It introduces a novel 2-connected-graph protocol, with cost bounded by half the size of a total vertex cover, and shows this yields near-optimal results for cycles, hypercubes, grids, and many regular graphs. By leveraging a faithful-host construction and special copies, the new protocol exploits total vertex covers to achieve substantial improvements over prior 4-approx methods in a broad set of topologies. The paper also develops and leverages linear-programming lower bounds for boundaries, and introduces a monotone variant of total vertex covers, outlining promising directions for extending these topology-aware techniques and posing open questions on optimality gaps and broader graph classes.
Abstract
In this paper we consider the multiparty equality problem in graphs, where every vertex of a graph $G$ is given an input, and the goal of the vertices is to decide whether all inputs are equal. We study this problem in the local broadcast model, where a message sent by a vertex is received by all its neighbors and the total cost of a protocol is the sum of the lengths of the messages sent by the vertices. This setting was studied by Khan and Vaidya, who gave in 2021 a protocol achieving a 4-approximation in the general case. We study this multiparty communication problem through the lens of network topology. We design a new protocol for 2-connected graphs, whose efficiency relies on the notion of total vertex cover in graph theory. This protocol outperforms the aforementioned 4-approximation in a number of cases. To demonstrate its applicability, we apply it to obtain optimal or asymptotically optimal protocols for several natural network topologies such as cycles, hypercubes, and grids. On the way we also provide new bounds of independent interest on the size of total vertex covers in regular graphs.
