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Communication complexity

About: Communication complexity is a research topic. Over the lifetime, 3870 publications have been published within this topic receiving 105832 citations.


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TL;DR: In this paper, the authors present an algorithm that achieves round synchronization with expected linear message complexity and expected constant latency, which is the first time for Byzantine state machine replication protocols with expected latency.
Abstract: State Machine Replication (SMR) solutions often divide time into rounds, with a designated leader driving decisions in each round. Progress is guaranteed once all correct processes synchronize to the same round, and the leader of that round is correct. Recently suggested Byzantine SMR solutions such as HotStuff, Tendermint, and LibraBFT achieve progress with a linear message complexity and a constant time complexity once such round synchronization occurs. But round synchronization itself incurs an additional cost. By Dolev and Reischuk's lower bound, any deterministic solution must have $\Omega(n^2)$ communication complexity. Yet the question of randomized round synchronization with an expected linear message complexity remained open. We present an algorithm that, for the first time, achieves round synchronization with expected linear message complexity and expected constant latency. Existing protocols can use our round synchronization algorithm to solve Byzantine SMR with the same asymptotic performance.

29 citations

Book ChapterDOI
21 Feb 2007
TL;DR: This paper gives the first computationally sound protocol where k-fold parallel repetition does not decrease the error probability below some constant for any polynomial k (and where the communication complexity does not depend on k).
Abstract: Parallel repetition is well known to reduce the error probability at an exponential rate for single- and multi-prover interactive proofs. Bellare, Impagliazzo and Naor (1997) show that this is also true for protocols where the soundness only holds against computationally bounded provers (e.g. interactive arguments) if the protocol has at most three rounds. On the other hand, for four rounds they give a protocol where this is no longer the case: the error probability does not decrease below some constant even if the protocol is repeated a polynomial number of times. Unfortunately, this protocol is not very convincing as the communication complexity of each instance of the protocol grows linearly with the number of repetitions, and for such protocols the error does not even decrease for some types of interactive proofs. Noticing this, Bellare et al. construct (a quite artificial) oracle relative to which a four round protocol exists whose communication complexity does not depend on the number of parallel repetitions. This shows that there is no "black-box" error reduction theorem for four round protocols. In this paper we give the first computationally sound protocol where k-fold parallel repetition does not decrease the error probability below some constant for any polynomial k (and where the communication complexity does not depend on k). The protocol has eight rounds and uses the universal arguments of Barak and Goldreich (2001). We also give another four round protocol relative to an oracle, unlike the artificial oracle of Bellare et al., we just need a generic group. This group can then potentially be instantiated with some real group satisfying some well defined hardness assumptions (we do not know of any candidate for such a group at the moment).

29 citations

Proceedings ArticleDOI
15 Jul 2009
TL;DR: It is shown that essentially all lower bounds known on randomized complexity in this model also hold for quantum communication, which implies that separating quantum and classical communication in this setting will require the development of new techniques.
Abstract: A major open question in communication complexity is if randomized and quantum communication are polynomially related for all total functions. So far, no gap larger than a power of two is known, despite significant efforts. We examine this question in the number-on-the-forehead model of multiparty communication complexity. We show that essentially all lower bounds known on randomized complexity in this model also hold for quantum communication. This includes bounds of size Omega(n/2^k) for the k-party complexity of explicit functions, bounds for the generalized inner product function, and recent work on the multiparty complexity of disjointness. To the best of our knowledge, these are the first lower bounds of any kind on quantum communication in the general number-on-the-forehead model. We show this result in the following way. In the two-party case, there is a lower bound on quantum communication complexity in terms of a norm gamma_2, which is known to subsume nearly all other techniques in the literature. For randomized complexity there is another natural bound in terms of a different norm mu which is also one of the strongest techniques available. A deep theorem in functional analysis, Grothendieck's inequality, implies that gamma_2 and mu are equivalent up to a constant factor. This connection is one of the major obstacles to showing a larger gap between randomized and quantum communication complexity in the two-party case. The lower bound technique in terms of the norm mu was recently extended to the multiparty number-on-the-forehead model. Here we show how the gamma_2 norm can be also extended to lower bound quantum multiparty complexity. Surprisingly, even in this general setting the two lower bounds, on quantum and classical communication, are still very closely related. This implies that separating quantum and classical communication in this setting will require the development of new techniques. The relation between these extensions of mu and gamma_2 is proved by a multi-dimensional version of Grothendieck's inequality.

29 citations

Proceedings ArticleDOI
11 Jun 2005
TL;DR: It is proved that corruption, one of the most powerful measures used to analyze 2-party randomized communication complexity, satisfies a strong direct sum property under rectangular distributions.
Abstract: We prove that corruption, one of the most powerful measures used to analyze 2-party randomized communication complexity, satisfies a strong direct sum property under rectangular distributions. This direct sum bound holds even when the error is allowed to be exponentially close to 1. We use this to analyze the complexity of the widely-studied set disjointness problem in the usual "number-on-the-forehead" (NOF) model of multiparty communication complexity.

29 citations

Journal ArticleDOI
TL;DR: The quantum analogue of classical communication complexity, the quantum communication complexity model, was defined and studied, and some of the main results in the area are presented.
Abstract: Classical communication complexity has been intensively studied since its conception two decades ago. Recently, its quantum analogue, the quantum communication complexity model, was defined and studied. In this paper we present some of the main results in the area.

29 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202319
202256
2021161
2020165
2019149
2018141