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20082026
most citedLessons from the Congested Clique Applied to MapReduce

13 citations · 26 across the 18 of their papers we have counts for

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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

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.DC2024

Sublinear-Time Sampling of Spanning Trees in the Congested Clique

Sriram V. Pemmaraju, Sourya Roy, Joshua Z. Sobel

We present the first sublinear-in- round algorithm for sampling an approximately uniform spanning tree of an -vertex graph in the CongestedClique model of distributed computi…

cs.DC2024

Towards singular optimality in the presence of local initial knowledge

Hongyan Ji, Sriram V. Pemmaraju

The Knowledge Till rho CONGEST model is a variant of the classical CONGEST model of distributed computing in which each vertex v has initial knowledge of the radius-rho ball center…

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

Exact Distributed Sampling

Sriram V. Pemmaraju, Joshua Z. Sobel

Fast distributed algorithms that output a feasible solution for constraint satisfaction problems, such as maximal independent sets, have been heavily studied. There has been much l…