More than two decades ago, combinatorial topology was shown to be useful for analyzing distributed fault-tolerant algorithms in shared memory systems and in message passing systems. In this work, we show that combinatorial topology can also be useful for analyzing distributed algorithms in networks of arbitrary structure. To illustrate this, we analyze consensus, set-agreement, and approximate agreement in networks, and derive lower bounds for these problems under classical computational settings, such as the LOCAL model and dynamic networks.
CITATION STYLE
Castañeda, A., Fraigniaud, P., Paz, A., Rajsbaum, S., Roy, M., & Travers, C. (2019). A topological perspective on distributed network algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11639 LNCS, pp. 3–18). Springer Verlag. https://doi.org/10.1007/978-3-030-24922-9_1
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