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Federated learning-based distributed model predictive control
DOI:10.1016/j.jprocont.2025.103472.png)
Abstract
En 中文
• Personalized federated learning for nonlinear networked systems. • Theoretical generalization error bound for federated learning models. • Distributed model predictive control scheme using federated learning models. • Application to a chemical network example to demonstrate its effectiveness.
Journal
IF:
3.9
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3.4K
Citations:
7.3K
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