activity
20092023
most citedDistributed Methods for Computing Approximate Equilibria

21 citations · 75 across the 21 of their papers we have counts for

collaborators

31 papers

cs.DS2023

Fully Scalable MPC Algorithms for Clustering in High Dimension

Artur Czumaj, Guichen Gao, Shaofeng H. -C. Jiang +2

We design new parallel algorithms for clustering in high-dimensional Euclidean spaces. These algorithms run in the Massively Parallel Computation (MPC) model, and are fully scalabl…

cs.DS2023

Optimal (degree+1)-Coloring in Congested Clique

Sam Coy, Artur Czumaj, Peter Davies +1

We consider the distributed complexity of the (degree+1)-list coloring problem, in which each node of degree is assigned a palette of colors, and the goal is to…

cs.DS2023

On Parallel -Center Clustering

Sam Coy, Artur Czumaj, Gopinath Mishra

We consider the classic -center problem {in the constant dimensional Euclidean space} under a parallel setting, on the low-local-space Massively Parallel Computation (MPC) model…

cs.DS2023★ 1 cited

Parallel Derandomization for Coloring

Sam Coy, Artur Czumaj, Peter Davies +1

Graph coloring problems are among the most fundamental problems in parallel and distributed computing, and have been studied extensively in both settings. In this context, designin…

cs.DC2022

Routing Schemes for Hybrid Communication Networks

Sam Coy, Artur Czumaj, Christian Scheideler +2

We consider the problem of computing routing schemes in the model of distributed computing where nodes have access to two fundamentally different communication mo…

cs.DS2022

Streaming Facility Location in High Dimension via Geometric Hashing

Artur Czumaj, Arnold Filtser, Shaofeng H. -C. Jiang +3

In Euclidean Uniform Facility Location (UFL), the input is a set of clients in and the goal is to place facilities to serve them, so as to minimize the total cost of…

cs.DC2022

Near-Shortest Path Routing in Hybrid Communication Networks

Sam Coy, Artur Czumaj, Michael Feldmann +5

Hybrid networks, i.e., networks that leverage different means of communication, become ever more widespread. To allow theoretical study of such networks, [Augustine et al., SODA'20…

cs.DC2021★ 1 cited

On Truly Parallel Time in Population Protocols

Artur Czumaj, Andrzej Lingas

The {\em parallel time} of a population protocol is defined as the average number of required interactions that an agent in the protocol participates, i.e., the quotient between th…

cs.DS2021

Deterministic Massively Parallel Connectivity

Sam Coy, Artur Czumaj

We consider the problem of designing fundamental graph algorithms on the model of Massive Parallel Computation (MPC). The input to the problem is an undirected graph with v…

cs.DS2021

Component Stability in Low-Space Massively Parallel Computation

Artur Czumaj, Peter Davies, Merav Parter

We study the power and limitations of component-stable algorithms in the low-space model of Massively Parallel Computation (MPC). Recently Ghaffari, Kuhn and Uitto (FOCS 2019) intr…

cs.DS2020

Streaming Algorithms for Geometric Steiner Forest

Artur Czumaj, Shaofeng H. -C. Jiang, Robert Krauthgamer +1

We consider an important generalization of the Steiner tree problem, the \emph{Steiner forest problem}, in the Euclidean plane: the input is a multiset ,…

cs.DS2020★ 15 cited

Simple, Deterministic, Constant-Round Coloring in the Congested Clique

Artur Czumaj, Peter Davies, Merav Parter

We settle the complexity of the -coloring and -list coloring problems in the CONGESTED CLIQUE model by presenting a simple deterministic algorithm for both problems r…

math.CO2020

Haystack Hunting Hints and Locker Room Communication

Artur Czumaj, George Kontogeorgiou, Mike Paterson

We want to efficiently find a specific object in a large unstructured set, which we model by a random -permutation, and we have to do it by revealing just a single element. Clea…

cs.DS2019

Graph Sparsification for Derandomizing Massively Parallel Computation with Low Space

Artur Czumaj, Peter Davies, Merav Parter

The Massively Parallel Computation (MPC) model is an emerging model which distills core aspects of distributed and parallel computation. It has been developed as a tool to solve (t…

cs.DS2019

A characterization of graph properties testable for general planar graphs with one-sided error (It is all about forbidden subgraphs)

Artur Czumaj, Christian Sohler

The problem of characterizing testable graph properties (properties that can be tested with a number of queries independent of the input size) is a fundamental problem in the area…

cs.DS2019

Testable Properties in General Graphs and Random Order Streaming

Artur Czumaj, Hendrik Fichtenberger, Pan Peng +1

We present a novel framework closely linking the areas of property testing and data streaming algorithms in the setting of general graphs. It has been recently shown (Monemizadeh e…

cs.DS2018★ 4 cited

Online Facility Location with Deletions

Marek Cygan, Artur Czumaj, Marcin Mucha +1

In this paper we study three previously unstudied variants of the online Facility Location problem, considering an intrinsic scenario when the clients and facilities are not only a…

cs.DC2018

Detecting cliques in CONGEST networks

Artur Czumaj, Christian Konrad

The problem of detecting network structures plays a central role in distributed computing. One of the fundamental problems studied in this area is to determine whether for a given…

cs.DC2018

Randomized Communication Without Network Knowledge

Artur Czumaj, Peter Davies

Radio networks are a long-studied model for distributed system of devices which communicate wirelessly. When these devices are mobile or have limited capabilities, the system is of…

cs.DC2018

Deterministic Blind Radio Networks

Artur Czumaj, Peter Davies

Ad-hoc radio networks and multiple access channels are classical and well-studied models of distributed systems, with a large body of literature on deterministic algorithms for fun…

cs.DS2017

Round Compression for Parallel Matching Algorithms

Artur Czumaj, Jakub Łącki, Aleksander Mądry +3

For over a decade now we have been witnessing the success of {\em massive parallel computation} (MPC) frameworks, such as MapReduce, Hadoop, Dryad, or Spark. One of the reasons for…

cs.DC2017

Exploiting Spontaneous Transmissions for Broadcasting and Leader Election in Radio Networks

Artur Czumaj, Peter Davies

We study two fundamental communication primitives: broadcasting and leader election in the classical model of multi-hop radio networks with unknown topology and without collision d…

cs.GT2015★ 21 cited

Distributed Methods for Computing Approximate Equilibria

Artur Czumaj, Argyrios Deligkas, Michail Fasoulakis +3

We present a new, distributed method to compute approximate Nash equilibria in bimatrix games. In contrast to previous approaches that analyze the two payoff matrices at the same t…

cs.DC2015★ 14 cited

Deterministic Communication in Radio Networks

Artur Czumaj, Peter Davies

In this paper we improve the deterministic complexity of two fundamental communication primitives in the classical model of ad-hoc radio networks with unknown topology: broadcastin…