Federated Freeze BERT for text classification

Federated Freeze BERT for text classification

Abstract Pre-trained BERT models have demonstrated exceptional performance in the context of text classification tasks. Certain problem domains necessitate data distribution without data sharing. Federated Learning (FL) allows multiple clients to collectively train a global model by sharing learned...

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Bibliographic Details
Main Authors: Omar Galal, Ahmed H. Abdel-Gawad, Mona Farouk
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:Journal of Big Data
Subjects:
Federated Learning (FL)
BERT
Text classification
Pre-trained Language Models
Natural Language Processing (NLP)
Sentiment analysis
Online Access:https://doi.org/10.1186/s40537-024-00885-x

Internet

https://doi.org/10.1186/s40537-024-00885-x

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