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Austin Dukes

dblp:289/6414 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 first-author · 1 since 2021Theory of computation · 1 · 1 first-author · 1 since 2021

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
Coding theory · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › distributed storage › distributed storage codes
hierarchical locally recoverable codes
0.712023
Optimal Locally Recoverable Codes With Hierarchy From Nested F-Adic Expansions · IEEE Trans. Inf. Theory 2023
Coding theory › error-correcting codes
locally recoverable codes
0.712023
Optimal Locally Recoverable Codes With Hierarchy From Nested F-Adic Expansions · IEEE Trans. Inf. Theory 2023

Methods — techniques the papers use, named apart from their topics

f-adic expansions · 0.7algebraic number theory · 0.7
YearPublicationVenuePosition
2023 Optimal Locally Recoverable Codes With Hierarchy From Nested F-Adic Expansions
abstract
In this paper we construct new optimal hierarchical locally recoverable codes. Our construction is based on a combination of the ideas of Ballentine et al., (2019) and Sasidharan et al., (2015) with an algebraic number theoretical approach that allows to give a finer tuning of the minimum distance of the intermediate code (allowing larger dimension of the final code), and to remove restrictions on the arithmetic properties of$q$compared with the size of the locality sets in the hierarchy. In turn, we manage to obtain codes with a wider set of parameters both for the size$q$of the base field, and for the hierarchy size, while keeping the optimality of the codes we construct.
Austin Dukes, Giacomo Micheli, Vincenzo Pallozzi Lavorante
IEEE Trans. Inf. Theory1
2022 Optimal selection for good polynomials of degree up to five
Austin Dukes, Andrea Ferraguti, Giacomo Micheli
Des. Codes Cryptogr.1