activity
20102017
most citedApproximation of Distances and Shortest Paths in the Broadcast Congest Clique

21 citations · 28 across the 6 of their papers we have counts for

collaborators

7 papers

cs.DC2017★ 2 cited

Beeping a Maximal Independent Set Fast

Stephan Holzer, Nancy Lynch

We adapt a recent algorithm by Ghaffari [SODA'16] for computing a Maximal Independent Set in the LOCAL model, so that it works in the significantly weaker BEEP model. For networks…

cs.DC2016★ 1 cited

Distributed Local Multi-Aggregation and Centrality Approximation

Benjamin Dissler, Stephan Holzer, Roger Wattenhofer

We study local aggregation and graph analysis in distributed environments using the message passing model. We provide a flexible framework, where each of the nodes in a set --wh…

cs.DC2015★ 2 cited

A Local Broadcast Layer for the SINR Network Model

Magnus M. Halldorsson, Stephan Holzer, Nancy Lynch

We present the first algorithm that implements an abstract MAC (absMAC) layer in the Signal-to-Interference-plus-Noise-Ratio (SINR) wireless network model. We first prove that effi…

cs.DC2014★ 21 cited

Approximation of Distances and Shortest Paths in the Broadcast Congest Clique

Stephan Holzer, Nathan Pinsker

We study the broadcast version of the CONGEST CLIQUE model of distributed computing. In this model, in each round, any node in a network of size can send the same message (i.e.…

cs.DC2014★ 1 cited

Distributed Approximation of Minimum Routing Cost Trees

Alexandra Hochuli, Stephan Holzer, Roger Wattenhofer

We study the NP-hard problem of approximating a Minimum Routing Cost Spanning Tree in the message passing model with limited bandwidth (CONGEST model). In this problem one tries to…

cs.DS2012

The Power of Non-Uniform Wireless Power

Magnus M. Halldorsson, Stephan Holzer, Pradipta Mitra +1

We study a fundamental measure for wireless interference in the SINR model known as (weighted) inductive independence. This measure characterizes the effectiveness of using oblivio…

cs.DC2010★ 1 cited

Distributed Verification and Hardness of Distributed Approximation

Atish Das Sarma, Stephan Holzer, Liah Kor +5

We study the {\em verification} problem in distributed networks, stated as follows. Let be a subgraph of a network where each vertex of knows which edges incident on it…