Abstract: This paper studies the round complexity of randomized binary consensus in crash-prone asynchronous distributed systems. While the
Consensus problem cannot be solved deterministically, Ben-Or and
Rabin showed that randomization allows solving the problem with
probability $1$. Moreover, while local coins may need an exponential
number of rounds in $๐$, a common coin that delivers the same random sequence to all processes allows termination within a constant
mean number of rounds. This paper studies the round complexity and the optimality for different coins. Surprisingly, while the
common coin is optimal when $๐ก > ๐/3$, it is not when $๐ก \leq ๐/3$.
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