activity
20172026
most citedA Constant Approximation for Colorful k-Center

3 citations · 5 across the 12 of their papers we have counts for

collaborators

22 papers

cs.DC2026

Approximating Minimum Dominating Set with Few Awake Rounds

Hongyan Ji, Shreyas Pai, Sriram V. Pemmaraju

We study the Minimum Dominating Set (MDS) problem in the sleeping CONGEST model (Chatterjee, Gmyr, and Pandurangan, PODC 2020), a generalization of the standard CONGEST model, in w…

cs.DC2025

Distributed MIS Algorithms for Rational Agents using Games

Nithin Salevemula, Shreyas Pai

We study the problem of computing a Maximal Independent Set (MIS) in distributed networks where each node is a rational agent whose payoff depends on whether it joins the MIS. Clas…

cs.DC2025

Message Optimality and Message-Time Trade-offs for APSP and Beyond

Fabien Dufoulon, Shreyas Pai, Gopal Pandurangan +2

Round complexity is an extensively studied metric of distributed algorithms. In contrast, our knowledge of the \emph{message complexity} of distributed computing problems and its r…

cs.DS2024

Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time

Vladimir Braverman, Prathamesh Dharangutte, Shreyas Pai +2

We study the dynamic correlation clustering problem with edge label flips. In correlation clustering, we are given a -vertex complete graph whose edges are l…

cs.DC2024

Online Locality Meets Distributed Quantum Computing

Amirreza Akbari, Xavier Coiteux-Roy, Francesco d'Amore +8

We connect three distinct lines of research that have recently explored extensions of the classical LOCAL model of distributed computing: A. distributed quantum computing and non-s…

cs.DC2024

Adaptive Massively Parallel Coloring in Sparse Graphs

Rustam Latypov, Yannic Maus, Shreyas Pai +1

Classic symmetry-breaking problems on graphs have gained a lot of attention in models of modern parallel computation. The Adaptive Massively Parallel Computation (AMPC) is a model…

cs.DC2023

The Message Complexity of Distributed Graph Optimization

Fabien Dufoulon, Shreyas Pai, Gopal Pandurangan +2

The message complexity of a distributed algorithm is the total number of messages sent by all nodes over the course of the algorithm. This paper studies the message complexity of d…

cs.DC2023

Conditionally Optimal Parallel Coloring of Forests

Christoph Grunau, Rustam Latypov, Yannic Maus +2

We show the first conditionally optimal deterministic algorithm for -coloring forests in the low-space massively parallel computation (MPC) model. Our algorithm runs in $O(\log…

cs.DS2023

Time and Space Optimal Massively Parallel Algorithm for the 2-Ruling Set Problem

Mélanie Cambus, Fabian Kuhn, Shreyas Pai +1

In this work, we present a constant-round algorithm for the -ruling set problem in the Congested Clique model. As a direct consequence, we obtain a constant round algorithm in t…

cs.DC2023

Fast Dynamic Programming in Trees in the MPC Model

Chetan Gupta, Rustam Latypov, Yannic Maus +6

We present a deterministic algorithm for solving a wide range of dynamic programming problems in trees in rounds in the massively parallel computation model (MPC), with…

cs.DC2022

Distributed Reconfiguration of Spanning Trees

Siddharth Gupta, Manish Kumar, Shreyas Pai

In a reconfiguration problem, given a problem and two feasible solutions of the problem, the task is to find a sequence of transformations to reach from one solution to the other s…

cs.DS2022★ 1 cited

Deterministic Massively Parallel Algorithms for Ruling Sets

Shreyas Pai, Sriram V. Pemmaraju

In this paper we present a deterministic -round algorithm for the 2-ruling set problem in the Massively Parallel Computation model with memory; this a…

cs.DS2022

A -Approximate Correlation Clustering Algorithm in Dynamic Streams

Mélanie Cambus, Fabian Kuhn, Etna Lindy +2

Grouping together similar elements in datasets is a common task in data mining and machine learning. In this paper, we study streaming algorithms for correlation clustering, where…

cs.DC2021

Sinkless Orientation Made Simple

Alkida Balliu, Janne H. Korhonen, Fabian Kuhn +9

The sinkless orientation problem plays a key role in understanding the foundations of distributed computing. The problem can be used to separate two fundamental models of distribut…

cs.DC2021★ 1 cited

Can We Break Symmetry with o(m) Communication?

Shreyas Pai, Gopal Pandurangan, Sriram V. Pemmaraju +1

We study the communication cost (or message complexity) of fundamental distributed symmetry breaking problems, namely, coloring and MIS. While significant progress has been made in…

cs.DC2020

Sample-and-Gather: Fast Ruling Set Algorithms in the Low-Memory MPC Model

Kishore Kothapalli, Shreyas Pai, Sriram V. Pemmaraju

Motivated by recent progress on symmetry breaking problems such as maximal independent set (MIS) and maximal matching in the low-memory Massively Parallel Computation (MPC) model (…

cs.DS2020

Distributed Approximation on Power Graphs

Reuven Bar-Yehuda, Keren Censor-Hillel, Yannic Maus +2

We investigate graph problems in the following setting: we are given a graph and we are required to solve a problem on . While we focus mostly on exploring this theme in t…

cs.DS2019★ 3 cited

A Constant Approximation for Colorful k-Center

Sayan Bandyapadhyay, Tanmay Inamdar, Shreyas Pai +1

In this paper, we consider the colorful -center problem, which is a generalization of the well-known -center problem. Here, we are given red and blue points in a metric space…

cs.DC2019

Connectivity Lower Bounds in Broadcast Congested Clique

Shreyas Pai, Sriram V. Pemmaraju

We prove three new lower bounds for graph connectivity in the -bit broadcast congested clique model, BCC. First, in the KT- version of BCC, in which nodes are aware…

cs.DC2018

Large-Scale Distributed Algorithms for Facility Location with Outliers

Tanmay Inamdar, Shreyas Pai, Sriram V. Pemmaraju

This paper presents fast, distributed, -approximation algorithms for metric facility location problems with outliers in the Congested Clique model, Massively Parallel Computa…

cs.DC2017

Near-Optimal Clustering in the -machine model

Sayan Bandyapadhyay, Tanmay Inamdar, Shreyas Pai +1

The clustering problem, in its many variants, has numerous applications in operations research and computer science (e.g., in applications in bioinformatics, image processing, soci…

cs.DC2017

Symmetry Breaking in the Congest Model: Time- and Message-Efficient Algorithms for Ruling Sets

Shreyas Pai, Gopal Pandurangan, Sriram V. Pemmaraju +2

We study local symmetry breaking problems in the CONGEST model, focusing on ruling set problems, which generalize the fundamental Maximal Independent Set (MIS) problem. A -rulin…