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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Bibliographic Details
Main Authors: Jiajun Meng, Jing Chen, Dongfang Zhao
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-11-01
Series:Journal of Economy and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2949948825000046
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