2 papers
cs.LG2023
Robust Networked Federated Learning for Localization
Reza Mirzaeifard, Naveen K. D. Venkategowda, Stefan Werner
This paper addresses the problem of localization, which is inherently non-convex and non-smooth in a federated setting where the data is distributed across a multitude of devices.…
cs.LG2023★ 4 cited
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs
Stefan Werner, Sebastian Peitz
The goal of this paper is to make a strong point for the usage of dynamical models when using reinforcement learning (RL) for feedback control of dynamical systems governed by part…