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
Published in:Data (Basel) 2023-02, Vol.8 (2), p.43
Main Authors: Fachola, Christian, Tornaría, Agustín, Bermolen, Paola, Capdehourat, Germán, Etcheverry, Lorena, Fariello, María Inés
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Analysis
Artificial intelligence
Computer centers
Data analysis
Data centers
Data mining
Data security
Datasets
Distance learning
Education
Electronic devices
Federated learning
Federated searching
Learning analytics
Machine learning
Methods
Neural networks
Parameter estimation
Performance evaluation
Personal information
Privacy
Schools
Servers
Students
Uruguay
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