Weighted external difference families and R-optimal AMD codes
Sophie Huczynska, Maura B. Paterson

TL;DR
This paper introduces a new combinatorial structure called RWEDF that characterizes R-optimal AMD codes, providing a unified framework that includes known and new optimal codes, with constructions in both abelian and non-abelian groups.
Contribution
It defines RWEDF, links it to R-optimal AMD codes, and develops structural group-theoretic methods to construct infinite families of these objects.
Findings
Established a mathematical framework for R-optimal AMD codes.
Developed structural characterizations and new constructions of RWEDFs.
Extended the concept to non-abelian groups, broadening applicability.
Abstract
In this paper, we provide a mathematical framework for characterizing AMD codes that are R-optimal. We introduce a new combinatorial object, the reciprocally-weighted external difference family (RWEDF), which corresponds precisely to an R-optimal weak AMD code. This definition subsumes known examples of existing optimal codes, and also encompasses combinatorial objects not covered by previous definitions in the literature. By developing structural group-theoretic characterizations, we exhibit infinite families of new RWEDFs, and new construction methods for known objects such as near-complete EDFs. Examples of RWEDFs in non-abelian groups are also discussed.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
