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Found 3 papers, 1 papers with code
Consensus controller with safety guarantee: an application to the kinematic bicycle model
This paper proposes a consensus controller for multi-agent systems that can guarantee the agents' safety.
Deep transfer learning for system identification using long short-term memory neural networks
We apply these techniques to identify two dynamical systems, namely a second-order linear system and a Wiener-Hammerstein nonlinear system.
The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset
Federated Learning is an algorithm suited for training models on decentralized data, but the requirement of a central "server" node is a bottleneck.
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