Hierarchical Learning: A Hybrid of Federated Learning and Personalization Fine-Tuning
Hierarchical Federated Learning (FL) presents a novel approach that combines global model training with localized personalization fine-tuning to enhance the predictive accuracy of decentralized machine learning systems. Traditional FL methods, which allow multiple clients to collaboratively train a...
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Main Authors: | Li Shuyi, Zhang Bairong |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2025-01-01
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Series: | ITM Web of Conferences |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_03029.pdf |
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