An Analysis of Avalanche Consensus
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Publisher
Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-60603-8_2
Reference13 articles.
1. Amores-Sesar, I., Cachin, C., Tedeschi, E.: When is spring coming? A security analysis of avalanche consensus. In: 26th International Conference on Principles of Distributed Systems, OPODIS 2022, 13–15 December 2022, Brussels, Belgium. Ed. by Eshcar Hillel, Roberto Palmieri, and Etienne Rivière, vol. 253. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, pp. 10:1–10:22 (2022). https://doi.org/10.4230/LIPIcs.OPODIS.2022.10
2. Becchetti, L., Clementi, A., Natale, E.: Consensus dynamics: an overview. SIGACT News 51(1), 58–104 (2020). https://doi.org/10.1145/3388392.3388403
3. Becchetti, L., et al.: Simple dynamics for plurality consensus. Distrib. Comput. 30(4), 293–306 (2017). https://doi.org/10.1007/s00446-016-0289-4
4. Becchetti, L., et al.: Stabilizing consensus with many opinions. In: Proceedings of the Twenty-Seventh AnnualACM-SIAM Symposium on Discrete Algorithms, SODA 2016, Arlington, VA, USA, 10–12 January 2016. Ed. by Robert Krauthgamer. SIAM, 2016, pp. 620–635 (2016). https://doi.org/10.1137/1.9781611974331.ch46
5. Buterin, V.: The Scalability Trilemma—Why Sharding is Great: Demystifying the Technical Properties. https://vitalik.ca/general/2021/04/07/sharding.html. 2017
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