The University of Southampton
University of Southampton Institutional Repository

Dataset in support of the thesis 'Efficient Federated Learning: A Tsetlin Machine-Based Approach

Dataset in support of the thesis 'Efficient Federated Learning: A Tsetlin Machine-Based Approach
Dataset in support of the thesis 'Efficient Federated Learning: A Tsetlin Machine-Based Approach
Dataset in support of the thesis 'Efficient Federated Learning: A Tsetlin Machine-Based Approach
University of Southampton
How, Shannon Shi Qi
f0753707-bb20-42e3-a1aa-bebf9f6c9545
How, Shannon Shi Qi
f0753707-bb20-42e3-a1aa-bebf9f6c9545

How, Shannon Shi Qi (2026) Dataset in support of the thesis 'Efficient Federated Learning: A Tsetlin Machine-Based Approach. University of Southampton doi:10.5258/SOTON/PG/D083 [Dataset]

Record type: Dataset

Abstract

Dataset in support of the thesis 'Efficient Federated Learning: A Tsetlin Machine-Based Approach

Archive
FedTMs.zip - Software
Restricted to System admin until 5 May 2027.
Text
README.md - Text
Restricted to System admin until 5 May 2027.
Available under License MIT.
Text
readme.txt - Text
Restricted to System admin until 5 May 2027.
Available under License MIT.

More information

Published date: 2026

Identifiers

Local EPrints ID: 511233
URI: http://eprints.soton.ac.uk/id/eprint/511233
PURE UUID: 2bfd270e-b7ba-4539-9fba-41f0aa0a02a6
ORCID for Shannon Shi Qi How: ORCID iD orcid.org/0000-0002-5995-2343

Catalogue record

Date deposited: 08 May 2026 16:52
Last modified: 09 May 2026 02:15

Export record

Altmetrics

Contributors

Creator: Shannon Shi Qi How ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×