collaborators

6 papers

cs.DC2026

Round and Resilience-Optimal Approximate Agreement on Trees and Block Graphs

Marc Fuchs, Diana Ghinea, Zahra Parsaeian +1

Approximate Agreement () is a fundamental primitive that, even in the presence of Byzantine faults, allows honest parties to obtain close (but not necessarily identic…

cs.DC2026

Solvability of Approximate Agreement on Graphs and Simplicial Complexes

Joel Rybicki, Yaroslav Verbitsky

Approximate agreement tasks on graphs are discrete relaxations of consensus, where each process in a distributed system is given as input a vertex on a graph , and processes hav…

cs.DC2026

Reaching Agreement in Competitive Microbial Systems

Victoria Andaur, Janna Burman, Matthias Függer +4

We study distributed agreement in microbial distributed systems under stochastic population dynamics and competitive interactions. Motivated by recent applications in synthetic bio…

cs.DC2026

What can be computed in average anonymous networks?

Joel Rybicki, Oleg Verbitsky, Maksim Zhukovskii

We study what deterministic distributed algorithms can compute on random input graphs in extremely weak models of distributed computing: all nodes are anonymous, and in each commun…

cs.DC2026

Near-optimal population protocols on bounded-degree trees

Joel Rybicki, Jakob Solnerzik, Robin Vacus

We investigate space-time trade-offs for population protocols in sparse interaction graphs. In complete interaction graphs, optimal space-time trade-offs are known for the leader e…

cs.DC2025

Space-efficient population protocols for exact majority on general graphs

Joel Rybicki, Jakob Solnerzik, Olivier Stietel +1

We study exact majority consensus in the population protocol model. In this model, the system is described by a graph with nodes, and in each time step, a scheduler…