,
Jakob Solnerzik
,
Robin Vacus
Creative Commons Attribution 4.0 International license
We investigate space-time trade-offs for population protocols in sparse interaction graphs. In complete interaction graphs, optimal space-time trade-offs are known for the leader election and exact majority problems. However, it has remained open whether other graph families exhibit similar space-time complexity trade-offs, as existing lower bound techniques do not extend beyond highly dense graphs. In this work, we show that - unlike in complete graphs - population protocols on bounded-degree trees do not exhibit significant asymptotic space-time trade-offs for leader election and exact majority. For these problems, we give constant-space protocols that have near-optimal worst-case expected stabilisation time. These new protocols achieve a linear speed-up compared to the state-of-the-art. Our results are based on two novel protocols, which we believe are of independent interest. First, we give a new fast self-stabilising 2-hop colouring protocol for general interaction graphs, whose stabilisation time we bound using a stochastic drift argument. Second, we give a self-stabilising tree orientation algorithm that builds a rooted tree in optimal time on any tree. As a consequence, we can use simple constant-state protocols designed for directed trees to solve leader election and exact majority fast. For example, we show that "directed" annihilation dynamics solve exact majority in O(n² log n) steps on directed trees.
@InProceedings{rybicki_et_al:LIPIcs.DISC.2026.30,
author = {Rybicki, Joel and Solnerzik, Jakob and Vacus, Robin},
title = {{Near-Optimal Population Protocols on Bounded-Degree Trees}},
booktitle = {40th International Symposium on Distributed Computing (DISC 2026)},
pages = {30:1--30:18},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-454-3},
ISSN = {1868-8969},
year = {2026},
volume = {397},
editor = {Moses Jr., William K. and Censor-Hillel, Keren},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2026.30},
URN = {urn:nbn:de:0030-drops-281369},
doi = {10.4230/LIPIcs.DISC.2026.30},
annote = {Keywords: population protocols, distributed graph algorithms}
}