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The role of randomness in the broadcast congested clique model
Information and Computation ( IF 0.8 ) Pub Date : 2020-11-23 , DOI: 10.1016/j.ic.2020.104669
Florent Becker , Pedro Montealegre , Ivan Rapaport , Ioan Todinca

We study the role of randomness in the broadcast congested clique model. This is a message-passing model of distributed computation where the nodes of a network know their local neighborhoods and they broadcast, in synchronous rounds, messages that are visible to every other node.

This works aims to separate three different settings: deterministic protocols, randomized protocols with private coins, and randomized protocols with public coins. We obtain the following results:

If more than one round is allowed, public randomness is as powerful as private randomness.

One-round public-coin algorithms can be exponentially more powerful than deterministic algorithms running in several rounds.

One-round public-coin algorithms can be exponentially more powerful than one-round private-coin algorithms.

One-round private-coin algorithms can be exponentially more powerful than one-round deterministic algorithms.



中文翻译:

随机性在广播拥塞团模型中的作用

我们研究随机性在广播拥挤集团模型中的作用。这是分布式计算的消息传递模型,其中网络节点知道它们的本地邻域,并且它们以同步轮次广播对每个其他节点可见的消息。

这项工作旨在分离三种不同的设置:确定性协议、带有私人硬币的随机协议和带有公共硬币的随机协议。我们得到以下结果:

如果允许多于一轮,则公共随机性与私有随机性一样强大。

一轮公开币算法比在几轮中运行的确定性算法更强大。

一轮公共硬币算法可以比一轮私人硬币算法强大得多。

一轮私人硬币算法可以比一轮确定性算法强大得多。

更新日期:2020-11-23
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