Time-Optimal Self-Stabilizing Leader Election in Population Protocols
Author:
Affiliation:
1. Université Paris-Saclay, CNRS, Paris, France
2. National Taiwan University, Taipei, Taiwan Roc
3. University of California, Davis, Davis, CA, USA
4. Inria Sophia-Antipolis, Nice, France
Funder
CNRS
NSF (National Science Foundation)
NSF
MOST
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3465084.3467898
Reference59 articles.
1. D. Alistarh J. Aspnes D. Eisenstat R. Gelashvili and R. L. Rivest. 2017. Trade-offs in Population Protocols. In SODA. 2560--2579. D. Alistarh J. Aspnes D. Eisenstat R. Gelashvili and R. L. Rivest. 2017. Trade-offs in Population Protocols. In SODA. 2560--2579.
2. D. Alistarh J. Aspnes and R. Gelashvili. 2018. Space-Optimal Majority in Population Protocols. In SODA. 2221--2239. D. Alistarh J. Aspnes and R. Gelashvili. 2018. Space-Optimal Majority in Population Protocols. In SODA. 2221--2239.
3. Balls-into-leaves
4. D. Alistarh B. Dudek A. Kosowski D. Soloveichik and P. Uznanski. 2017. Robust Detection in Leak-Prone Population Protocols. In DNA. 155--171. https://doi.org/ 10.1007/978-3-319-66799-7_11 D. Alistarh B. Dudek A. Kosowski D. Soloveichik and P. Uznanski. 2017. Robust Detection in Leak-Prone Population Protocols. In DNA. 155--171. https://doi.org/ 10.1007/978-3-319-66799-7_11
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