Demo Data from EDBT 2026 / reviewers in the wild / expert
Janosch Deurer
dblp:241/9358
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Distributed computing theory · 61% Approximation and online algorithms · 30% Graph algorithms and graph theory · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed computing theory › distributed graph algorithms
CONGEST model |
0.4 | 1 | 2019 | Deterministic Distributed Dominating Set Approximation in the CONGEST Model · PODC 2019 |
Approximation and online algorithms › approximation algorithms
deterministic approximation |
0.4 | 1 | 2019 | Deterministic Distributed Dominating Set Approximation in the CONGEST Model · PODC 2019 |
Distributed computing theory
distributed graph algorithms |
0.4 | 1 | 2019 | Deterministic Distributed Dominating Set Approximation in the CONGEST Model · PODC 2019 |
Graph algorithms and graph theory › dominating set
connected dominating set |
0.1 | 1 | 2019 | Deterministic Distributed Dominating Set Approximation in the CONGEST Model · PODC 2019 |
Methods — techniques the papers use, named apart from their topics
deterministic distributed algorithm · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Deterministic Distributed Dominating Set Approximation in the CONGEST ModelabstractWe develop deterministic approximation algorithms for the minimum dominating set problem in the CONGEST model with an almost optimal approximation guarantee. For ε 1/ poly log Δ we obtain two algorithms with approximation factor (1 + ε)(1 + ł n (Δ + 1)) and with runtimes 2O(√ log n log log n) and O(Δ poly log Δ + poly log Δ log* n), respectively. Further we show how dominating set approximations can be deterministically transformed into a connected dominating set in the CONGEST model while only increasing the approximation guarantee by a constant factor. This results in a deterministic O(log Δ)-approximation algorithm for the minimum connected dominating set with time complexity 2O(√ log n log log n). Janosch Deurer, Fabian Kuhn, Yannic Maus |
PODC | 1 |