activity
20042025
most citedTime-space Trade-offs in Population Protocols for the Majority Problem

15 citations · 41 across the 23 of their papers we have counts for

collaborators

31 papers

cs.DC2025

(Almost) Perfect Discrete Iterative Load Balancing

Petra Berenbrink, Robert Elsässer, Tom Friedetzky +4

We consider discrete, iterative load balancing via matchings on arbitrary graphs. Initially each node holds a certain number of tokens, defining the load of the node, and the objec…

cs.DC2025

Balls and Bins and the Infinite Process with Random Deletions

Petra Berenbrink, Tom Friedetzky, Peter Kling +1

We consider an infinite balls-into-bins process with deletions where in each discrete step a coin is tossed as to whether, with probability , a new ball is allo…

cs.DC2024

Population Protocols for Exact Plurality Consensus -- How a small chance of failure helps to eliminate insignificant opinions

Gregor Bankhamer, Petra Berenbrink, Felix Biermeier +4

We consider the \emph{exact plurality consensus} problem for \emph{population protocols}. Here, anonymous agents start each with one of opinions. Their goal is to agree on…

cs.DC2023★ 1 cited

Fast Convergence of -Opinion Undecided State Dynamics in the Population Protocol Model

Talley Amir, James Aspnes, Petra Berenbrink +4

We analyze the convergence of the -opinion Undecided State Dynamics (USD) in the population protocol model. For =2 opinions it is well known that the USD reaches consensus wi…

cs.DC2023

Dynamic Averaging Load Balancing on Arbitrary Graphs

Petra Berenbrink, Lukas Hintze, Hamed Hosseinpour +2

In this paper we study dynamic averaging load balancing on general graphs. We consider infinite time and dynamic processes, where in every step new load items are assigned to rando…

math.PR2022

Distributed Averaging in Opinion Dynamics

Petra Berenbrink, Colin Cooper, Cristina Gava +4

We consider two simple asynchronous opinion dynamics on arbitrary graphs where every node has an initial value . In the first process, the NodeModel, at each time step…