collaborators

5 papers

cs.DC2026

Introducing the Self-Stabilizing SLEEPING Model

Tistou Fages, Colette Johnen, Mikaël Rabie

The SLEEPING LOCAL model introduces a new complexity parameter, the awake complexity, to make distributed algorithms energy-efficient. In the synchronous LOCAL model, nodes can now…

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 -col…

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

Distributed Coloring in the SLEEPING Model

Fabien Dufoulon, Pierre Fraigniaud, Mikaël Rabie +1

In distributed network computing, a variant of the LOCAL model has been recently introduced, referred to as the SLEEPING model. In this model, nodes have the ability to decide on w…