Federated Learning for Systems Identification Federated learning (FL) operates in a decentralized manner, as shown Figure 1, allowing multiple clients (or devices) to collaboratively train a model while ensuring the privacy of local data. This method is particularly relevant for systems identification, where clients have access to limited and environmentspecific […]
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23 posts
3−wave turbulence kinetics: Numerical approach for energy cascading This post provides an overview of the results presented in the paper “Numerical schemes for a fully nonlinear coagulation-fragmentation model coming from wave kinetic theory” by Arijit Das and Minh-Binh Tran [1]. 1. Introduction The theory of wave turbulence has been […]
How to steer a fleet of agents by controlling only a few: a mean-field approach 1 Introduction The challenge of controlling large systems of interacting agents has garnered significant attention in recent years. Applications of such problems include crowd evacuations, achieving consensus within a large group, and traffic flow […]
Next Spring, on April 28 – 30, 2025, our FAU MoD, Research Center for Mathematics of Data is hosting the “Machine Learning and PDEs” workshop (MLPDES25) supported by the FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics, the AFOSR, Air Force Office of Scientific Research, PoliBa, Politecnico di […]
Event: CIN-PDE 2024. Conference on Control, Inversion and Numerics for PDEs. Date: Mon.-Thu. October 7 – 10, 2024 Next October, the Fudan University is hosting the 2nd. edition of the CIN-PDE 2024: Conference on Control, Inversion and Numerics for PDEs (CIN-PDE 2024) in collaboration with our our FAU MoD, Research […]
From June 10 – 14, 2024, our FAU MoD, Research Center for Mathematics of Data at FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg is hosting the first “Trends in Mathematical Sciences” conference (in hybrid mode: on-site/online). This event is made possible thanks to the support of our FAU DCN-AvH, Chair for Dynamics, Control, Machine […]
Course: Wave Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 summer semester Date: April – July 2023 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Course: Scalar Conservation Laws Lecturers: Enrique Zuazua, , Nicola De Nitti Period: 2022/2023 summer semester Date: April – July 2023 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Course: Mathematical Modeling in the Life Sciences Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 winter semester Date: October 2022 – March 2023 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Course: Transport Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2022/2023 winter semester Date: October 2022 – March 2023 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Course: Modeling and Analysis in Continuum Mechanics 2 Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2021/2022 summer semester Date: April – July 2022 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Course: Scalar Conservation Laws Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2021/2022 summer semester Date: April – July 2022 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Course: Control, Machine Learning and Numerics (2022) Lecturers: Enrique Zuazua, Yongcun Song Period: 2021/2022 summer semester Date: April – July 2022 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Date: March, 2022 Book: Optimization and Control for Partial Differential Equations DOI: https://doi.org/10.1515/9783110695984 Chapter 3 Limits of stabilizability for a semilinear model for gas pipeline flow • Martin Gugat, Chair for Dynamics Control and Numerics – Alexander von Humboldt Prof. FAU DCN-AvH, Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) • Michael Herty, RWTH Aachen […]
Date: March 10, 2022 (4 weeks) Organized by: Institut Élie Cartan de Lorraine Cycle “Science and Society” Title: Contrôle et apprentissage automatique (Control and Machine Learning) Speaker: Prof. Dr. Enrique Zuazua Affiliation: Affiliation: FAU DCN-AvH, Chair for Dynamics Control and Numerics – Alexander von Humboldt Prof., Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Abstract. La […]
The Chair in Applied Analysis – Alexander von Humboldt Professorship led by Enrique Zuazua at FAU Erlangen-Nürnberg is looking for outstanding candidates to fill several PhD and Postdoctoral positions: Focused on hyperbolic and parabolic dynamics on networks and random batch methods for control Where: FAU – Friedrich-Alexander-Universität, Erlangen-Nürnberg Deadline for […]
The University of Erlangen-Nürnberg (FAU – Friedrich-Alexander Universität Erlangen-Nürnberg) is launching an ambitious project to establish the new Erlangen Center for Mathematics of Data (ECMD). Where: FAU – Department of Mathematics. Cauerstr. 11 (03.315), 91058 Erlangen, Germany Deadline for applications: March 15th, 2021 Starting at: Expected at April 15th, 2021 or earlier Searched Profile Full-time […]
Next Friday October 1, the FAU DCN-AvH, Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship at FAU Erlangen-Nürnberg will host a mini-workshop: 10:00H – 10:30H Ilias Ftouhi, FAU DCN-AvH | FAU Erlangen-Nürnberg “Blaschke-Santaló diagrams in spectral geometry” Abstract. Spectral theory has been interesting various communities in the […]
Course: Modeling and Analysis in Continuum Mechanics 1 Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2021/2022 winter semester Date: October 2021 – March 2022 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Course: Transport Phenomena Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2021/2022 winter semester Date: October 2021 – March 2022 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Course: Modeling and Analysis in Continuum Mechanics 2 Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2020/2021 summer semester Date: April – July 2021 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Course: Modeling and Analysis in Continuum Mechanics 1 Lecturers: Enrique Zuazua, Nicola De Nitti Period: 2020/2021 winter semester Date: October 2020 – March 2021 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –
Course: Partial Differential Equation, Control, and Numerics Lecturer: Enrique Zuazua | Exercise classes: Nicola De Nitti Period: 2019/2020 summer semester Date: April – July 2020 Location: FAU. Master’s Degree in Computational and Applied Mathematics ECTS: 10 This course at FAU StudON: –