Fabien Dufoulon

Orcid: 0000-0003-2977-4109

According to our database1, Fabien Dufoulon authored at least 14 papers between 2017 and 2024.

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Bibliography

2024
The Message Complexity of Distributed Graph Optimization.
Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

Time- and Communication-Efficient Overlay Network Construction via Gossip.
Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

2023
Distributed MIS in O(log log n) Awake Complexity.
Proceedings of the 2023 ACM Symposium on Principles of Distributed Computing, 2023

Beeping Shortest Paths via Hypergraph Bipartite Decomposition.
Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

2022
Sleeping is Superefficient: MIS in Exponentially Better Awake Complexity.
CoRR, 2022

An Almost Singularly Optimal Asynchronous Distributed MST Algorithm.
Proceedings of the 36th International Symposium on Distributed Computing, 2022

2021
Efficient Deterministic Leader Election for Programmable Matter.
Proceedings of the PODC '21: ACM Symposium on Principles of Distributed Computing, 2021

2020
Can Uncoordinated Beeps tell Stories?
Proceedings of the PODC '20: ACM Symposium on Principles of Distributed Computing, 2020

2019
Overcoming interference in the beeping communication model. (Surmonter les interférences dans le modèle de communication par bips).
PhD thesis, 2019

Optimal Multi-broadcast with Beeps Using Group Testing.
Proceedings of the Structural Information and Communication Complexity, 2019

2018
Beeping a Deterministic Time-Optimal Leader Election.
Proceedings of the 32nd International Symposium on Distributed Computing, 2018

Brief Announcement: Beeping a Time-Optimal Leader Election.
Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing, 2018

Fast Beeping Protocols for Deterministic MIS and (Δ + 1)-Coloring in Sparse Graphs.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2017
Load Prediction for Energy-Aware Scheduling for Cloud Computing Platforms.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017


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