Federated learning for data analytics in education

Federated learning techniques aim to train and build machine learning models based on distributed datasets across multiple devices while avoiding data leakage. The main idea is to perform training on remote devices or isolated data centers without transferring data to centralized repositories, thus...

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Bibliographic Details

Main Author:	Fachola, Christian (author)
Other Authors:	Tornaría, Agustín (author), Bermolen, Paola (author), Capdehourat, Germán (author), Etcheverry, Lorena (author), Fariello, María Inés (author)
Format:	article
Language:	English
Published:	2023
Subjects:	Federated learning Learning analytics
Online Access:	https://www.mdpi.com/2306-5729/8/2/43 https://hdl.handle.net/20.500.12008/39851
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