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Quorums Quicken Queries: Efficient Asynchronous Secure Multiparty Computation

机译:仲裁加快查询速度:高效的异步安全多方计算

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We describe an asynchronous algorithm to solve secure multiparty computation (MPC) over n players, when strictly less than a 1/8 fraction of the players are controlled by a static adversary. For any function f over a field that can be computed by a circuit with m gates, our algorithm requires each player to send a number of field elements and perform an amount of computation that is O(m + n~(1/2)). This significantly improves over traditional algorithms, which require each player to both send a number of messages and perform computation that is Ω(nm). Additionaly, we define the threshold counting problem and present a distributed algorithm to solve it in the asynchronous communication model. Our algorithm is load balanced, with computation, communication and latency complexity of O(log n), and may be of independent interest to other applications with a load balancing goal in mind.
机译:我们描述了一种异步算法,用于解决n个参与者上的安全多方计算(MPC),当静态参与者所控制的参与者中严格少于1/8的参与者不到1/8时。对于具有m个门的电路可以计算的场上的任何函数f,我们的算法要求每个玩家发送多个场元素并执行O(m / n + n〜(1/2 ))。这大大优于传统算法,后者要求每个播放器都发送大量消息并执行Ω(nm)的计算。另外,我们定义了阈值计数问题,并提出了一种在异步通信模型中解决该问题的分布式算法。我们的算法是负载平衡的,计算,通信和延迟复杂度为O(log n),并且考虑到负载平衡目标,可能对其他应用程序具有独立的利益。

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