Exponential Separations in Local Privacy

IF 0.9 3区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
Matthew Joseph, Jieming Mao, Aaron Roth
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引用次数: 0

Abstract

We prove a general connection between the communication complexity of two-player games and the sample complexity of their multi-player locally private analogues. We use this connection to prove sample complexity lower bounds for locally differentially private protocols as straightforward corollaries of results from communication complexity. In particular, we (1) use a communication lower bound for the hidden layers problem to prove an exponential sample complexity separation between sequentially and fully interactive locally private protocols, and (2) use a communication lower bound for the pointer chasing problem to prove an exponential sample complexity separation between k-round and (k+1)-round sequentially interactive locally private protocols, for every k.

指数分离在本地隐私
我们证明了两玩家游戏的通信复杂性与其多玩家局部私有模拟的样本复杂性之间的一般联系。我们使用这个连接来证明局部差分私有协议的样本复杂性下界,作为通信复杂性结果的直接推论。特别是,我们(1)使用隐层问题的通信下界来证明顺序交互和完全交互局部私有协议之间的指数样本复杂度分离,并且(2)使用指针跟踪问题的通信下界来证明k轮和(k+1)轮顺序交互局部私有协议之间的指数样本复杂度分离,对于每k。
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来源期刊
ACM Transactions on Algorithms
ACM Transactions on Algorithms COMPUTER SCIENCE, THEORY & METHODS-MATHEMATICS, APPLIED
CiteScore
3.30
自引率
0.00%
发文量
50
审稿时长
6-12 weeks
期刊介绍: ACM Transactions on Algorithms welcomes submissions of original research of the highest quality dealing with algorithms that are inherently discrete and finite, and having mathematical content in a natural way, either in the objective or in the analysis. Most welcome are new algorithms and data structures, new and improved analyses, and complexity results. Specific areas of computation covered by the journal include combinatorial searches and objects; counting; discrete optimization and approximation; randomization and quantum computation; parallel and distributed computation; algorithms for graphs, geometry, arithmetic, number theory, strings; on-line analysis; cryptography; coding; data compression; learning algorithms; methods of algorithmic analysis; discrete algorithms for application areas such as biology, economics, game theory, communication, computer systems and architecture, hardware design, scientific computing
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