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20142026
most citedA Big Data Analyzer for Large Trace Logs

18 citations · 27 across the 26 of their papers we have counts for

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Showing 2024 · cs.DCShow all

8 papers · 2 filters

cs.DC2024

Solving Sequential Greedy Problems Distributedly with Sub-Logarithmic Energy Cost

Alkida Balliu, Pierre Fraigniaud, Dennis Olivetti +1

We study the awake complexity of graph problems that belong to the class O-LOCAL, which includes a subset of problems solvable by sequential greedy algorithms, such as -colo…

cs.DC2024

Distributed Quantum Advantage for Local Problems

Alkida Balliu, Sebastian Brandt, Xavier Coiteux-Roy +10

We present the first local problem that shows a super-constant separation between the classical randomized LOCAL model of distributed computing and its quantum counterpart. By prio…

cs.DC2024

Towards Fully Automatic Distributed Lower Bounds

Alkida Balliu, Sebastian Brandt, Fabian Kuhn +2

In the past few years, a successful line of research has lead to lower bounds for several fundamental local graph problems in the distributed setting. These results were obtained v…

cs.DC2024

Asynchronous Fault-Tolerant Distributed Proper Coloring of Graphs

Alkida Balliu, Pierre Fraigniaud, Patrick Lambein-Monette +2

We revisit asynchronous computing in networks of crash-prone processes, under the asynchronous variant of the standard LOCAL model, recently introduced by Fraigniaud et al. [DISC 2…

cs.DC2024

Shared Randomness Helps with Local Distributed Problems

Alkida Balliu, Mohsen Ghaffari, Fabian Kuhn +5

By prior work, we have many results related to distributed graph algorithms for problems that can be defined with local constraints; the formal framework used in prior work is loca…

cs.DC2024

Completing the Node-Averaged Complexity Landscape of LCLs on Trees

Alkida Balliu, Sebastian Brandt, Fabian Kuhn +2

The node-averaged complexity of a problem captures the number of rounds nodes of a graph have to spend on average to solve the problem in the LOCAL model. A challenging line of res…

cs.DC2024

Distributed Computation with Local Advice

Alkida Balliu, Sebastian Brandt, Fabian Kuhn +4

In this work we study local computation with advice: the goal is to solve a graph problem with a distributed algorithm in communication rounds, for some function tha…

cs.DC2024

Tight Lower Bounds in the Supported LOCAL Model

Alkida Balliu, Thomas Boudier, Sebastian Brandt +1

We study the complexity of fundamental distributed graph problems in the recently popular setting where information about the input graph is available to the nodes before the start…