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A Tight Bound for Set Disjointness in the Message-Passing Model

机译:消息传递模型中集合不相交的严格界限

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In a multiparty message-passing model of communication, there are k players. Each player has a private input, and they communicate by sending messages to one another over private channels. While this model has been used extensively in distributed computing and in secure multiparty computation, lower bounds on communication complexity in this model and related models have been somewhat scarce. In recent work, strong lower bounds of the form Ω(n · k) were obtained for several functions in the message-passing model; however, a lower bound on the classical set disjoint ness problem remained elusive. In this paper, we prove a tight lower bound of Ω(n · k) for the set disjoint ness problem in the message passing model. Our bound is obtained by developing information complexity tools for the message-passing model and proving an information complexity lower bound for set disjoint ness.
机译:在多方消息传递的通信模型中,有k个参与者。每个播放器都有一个专用输入,他们通过在专用通道上相互发送消息进行通信。尽管此模型已广泛用于分布式计算和安全的多方计算中,但此模型和相关模型中通信复杂性的下限却很少。在最近的工作中,对于消息传递模型中的几个函数,获得了形式为Ω(n·k)的强下界。但是,经典集合不相交问题的下界仍然难以捉摸。在本文中,我们证明了消息传递模型中集合不相交问题的紧密下界Ω(n·k)。通过为消息传递模型开发信息复杂性工具并证明集合不相交的信息复杂性下界,可以确定我们的界限。

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