Research paper investigating federated learning approaches for linear quadratic regulator control systems. Combines distributed machine learning with classical control theory for decentralized applications.
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Scalar Federated Learning for Linear Quadratic Regulator
Researchers merge federated learning with classical control theory, enabling decentralized linear quadratic regulators to optimize without centralized coordination.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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