2024
DOI: 10.3390/fi16030095
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Personalized Federated Learning with Adaptive Feature Extraction and Category Prediction in Non-IID Datasets

Ying-Hsun Lai,
Shin-Yeh Chen,
Wen-Chi Chou
et al.

Abstract: Federated learning trains a neural network model using the client’s data to maintain the benefits of centralized model training while maintaining their privacy. However, if the client data are not independently and identically distributed (non-IID) because of different environments, the accuracy of the model may suffer from client drift during training owing to discrepancies in each client’s data. This study proposes a personalized federated learning algorithm based on the concept of multitask learning to divi… Show more

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