On Derandomizing Local Distributed Algorithms

  title={On Derandomizing Local Distributed Algorithms},
  author={M. Ghaffari and D. G. Harris and F. Kuhn},
  journal={2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS)},
  • M. Ghaffari, D. G. Harris, F. Kuhn
  • Published 2018
  • Computer Science, Mathematics
  • 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS)
  • The gap between the known randomized and deterministic local distributed algorithms underlies arguably the most fundamental and central open question in distributed graph algorithms. In this paper, we combine the method of conditional expectation with network decompositions to obtain a generic and clean recipe for derandomizing LOCAL algorithms. This leads to significant improvements on a number of problems, in cases resolving known open problems. Two main results are: - An improved… CONTINUE READING
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