EDBT 2026 Demo / reviewers in the wild / expert
Subhendu Chattopadhyay
dblp:25/5134
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2002
—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 · 70% Algorithmic game theory and mechanism design · 30% |
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 |
0.0 | 1 | 2002 | Dynamic and self-stabilizing distributed matching · PODC 2002 |
Algorithmic game theory and mechanism design
matching |
0.0 | 1 | 2002 | Dynamic and self-stabilizing distributed matching · PODC 2002 |
Distributed computing theory
self-stabilization |
0.0 | 1 | 2002 | Dynamic and self-stabilizing distributed matching · PODC 2002 |
Distributed computing theory › distributed algorithms
anonymous networks |
0.0 | 1 | 2002 | Dynamic and self-stabilizing distributed matching · PODC 2002 |
Methods — techniques the papers use, named apart from their topics
self-stabilizing algorithm · 0.0read/write atomicity · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | Dynamic and self-stabilizing distributed matchingabstractFinding a maximal or maximum matching in a graph is a well-understood problem for which efficient sequential algorithms exist. Applications of matchings in distributed settings make it desirable to find self-stabilizing asynchronous distributed solutions to these problems. We first present a self-stabilizing algorithm for finding a maximal matching in a general anonymous network under read/write atomicity with linear round complexity. This is followed by a self-stabilizing algorithm, with quadratic time complexity, for finding a maximum matching in a bipartite network under composite atomicity. These results represent significant progress in the area of distributed algorithms for matchings. Subhendu Chattopadhyay, Lisa Higham, Karen Seyffarth |
PODC | 1 |