A Communication-Efficient Federated Text Classification Method Based on Parameter Pruning

Text classification is an important application of machine learning. This paper proposes a communication-efficient federated text classification method based on parameter pruning. In the federated learning architecture, the data distribution of different participants is not independent and identical...

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Auteurs principaux:	Zheng Huo, Yilin Fan, Yaxin Huang
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2023-06-01
Collection:	Mathematics
Sujets:	federated learning parameter pruning text classification TextCNN
Accès en ligne:	https://www.mdpi.com/2227-7390/11/13/2804
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