activity
20142026
most citedA Big Data Analyzer for Large Trace Logs

18 citations · 22 across the 23 of their papers we have counts for

collaborators

45 papers

cs.DC2026

Distributed Lower Bounds via Automatic Self-Reduction

Alkida Balliu, Francesco d'Amore, Dennis Olivetti

The development of round elimination into a general-purpose technique [PODC 2019] marked a turning point in our understanding of the hardness of many graph problems in the distribu…

cs.DC2026

The Distributed Complexity Landscape on Trees Depends on the Knowledge About the Network Size

Alkida Balliu, Sebastian Brandt, Fabian Kuhn +3

One of the central models in distributed computing is Linial's LOCAL model [SIAM J. Comp. 1992]. Over time, researchers have studied distributed graph problems in the LOCAL model u…

cs.DC2025

On the Universality of Round Elimination Fixed Points

Alkida Balliu, Sebastian Brandt, Ole Gabsdil +2

Recent work on distributed graph algorithms [e.g. STOC 2022, ITCS 2022, PODC 2020] has drawn attention to the following open question: are round elimination fixed points a universa…

cs.DC2025

New Hardness Results for the LOCAL Model via a Simple Self-Reduction

Alkida Balliu, Filippo Casagrande, Francesco d'Amore +1

Very recently, Khoury and Schild [FOCS 2025] showed that any randomized LOCAL algorithm that solves maximal matching requires rounds, where is the…

cs.DC2025

Distributed Algorithms for Potential Problems

Alkida Balliu, Thomas Boudier, Francesco d'Amore +4

In this work, we present a fast distributed algorithm for local potential problems: these are graph problems where the task is to find a locally optimal solution where no node can…

cs.DC2025

New Limits on Distributed Quantum Advantage: Dequantizing Linear Programs

Alkida Balliu, Corinna Coupette, Antonio Cruciani +6

In this work, we give two results that put new limits on distributed quantum advantage in the context of the LOCAL model of distributed computing. First, we show that there is no d…