Federated learning and information sharing between competitors with different training effectiveness
Federated Learning (FL) is an innovative technique that allows multiple firms to collaborate in training machine learning models while preserving data privacy. This is especially important in industries where data is sensitive or subject to regulations like the General Data Protection Regulation (GD...
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Main Authors: | Jiajun Meng, Jing Chen, Dongfang Zhao |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2025-11-01
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Series: | Journal of Economy and Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2949948825000046 |
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