Sign inSubmit
computersciencejournal.org is not ours. This journal is published only at thescipub.com/jcs. Report a suspicious emailcomputersciencejournal.org is not ours · Report
ArticleArticle metrics
Research Article · Open access · Published 27 February 2026

Real MDS Codes for Error Correction: Construction and an Application on Federated Learning Pre Aggregation Validation

Ravi Varma B.1, N. Suresh Babu2, Santhosh Kumar K. P.3 & Shailesh Sivan4

Journal of Computer Science, Volume 21, Issue 12, pp. 2850–2861 · doi.org/10.3844/jcssp.2025.2850.2861

1,347 accesses972 downloads0 citations (Crossref)Journal metrics
Cite Check for updates

Abstract

Real number codes play a crucial role in correcting errors within communication systems that involve the transmission of analog signals or continuous data. Among these codes, Maximum Distance Separable (MDS) codes stand out as highly efficient for error correction. The present research paper is on the construction of a class of real number MDS codes for any desired dimension. The main objective is to enhance the error-detection and correction capability of a communication system through the application of a real-number code which has the maximum distance and hence the maximum error-detection and correction capability. The paper introduces a practical and systematic approach for encoding and decoding of messages which are in the form of real arrays using the proposed real MDS code. Also, an application of a real MDS code in federated learning is provided and illustrated with a case study.

Licence and reuse

Open access. This article is licensed under a Creative Commons Attribution 4.0 International Licence (CC BY 4.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

B., R. V., Babu, N. S., K. P., S. K. & Sivan, S. (2025). Real MDS Codes for Error Correction: Construction and an Application on Federated Learning Pre Aggregation Validation. Journal of Computer Science, 21(12), 2850–2861. https://doi.org/10.3844/jcssp.2025.2850.2861

Licence
CC BY 4.0
Issue
Volume 21, Issue 12
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
Real MDS Codes for Error Correction: Construction and an Application on Federated Learning Pre Aggregation ValidationJournal of Computer Science · Volume 21, Issue 12 · pp. 2850–2861 · CC BY 4.0Download