Using Federated Machine Learning to Overcome the AI Scale Disadvantage

Yannick Bammens; Paul Hünermund

Using Federated Machine Learning to Overcome the AI Scale Disadvantage

Bidragets oversatte titel: IA para todos, así es como las pymes pueden usar el small-data

Yannick Bammens, Paul Hünermund

Institut for Strategi og Innovation

Universiteit Hasselt

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Abstract

A promising new approach to training AI models lets companies with small data sets collaborate while safeguarding proprietary information.

Bidragets oversatte titel	IA para todos, así es como las pymes pueden usar el small-data
Originalsprog	Engelsk
Tidsskrift	MIT Sloan Management Review
Vol/bind	65
Udgave nummer	1
Sider (fra-til)	54-57
Antal sider	4
ISSN	1532-9194
Status	Udgivet - sep. 2023

Bibliografisk note

Published online: 22 August 2023

Adgang til dokumentet

https://sloanreview.mit.edu/article/using-federated-machine-learning-to-overcome-the-ai-scale-disadvantage/Licens: Ikke-specificeret
https://mitsloanreview.mx/data-ia-machine-learning/ia-para-todos-asi-es-como-las-pymes-pueden-usar-el-small-data/Licens: Ikke-specificeret

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Citationsformater

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