Ziqi Wang
Email • MsC in control science and engineering, Beihang University
Modeling and control of dynamical systems, motion planning, machine learning
PhD Student
Supervisor: Enrique Zuazua
Room 03.311 | FAU DCN-AvH, Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship
Friedrich-Alexander-Universität Erlangen-Nürnberg
Naturwissenschaftliche Fakultät. Department Mathematik
Hi, I am Ziqi Wang, a PhD student at FAU DCN-AvH, the Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship at Friedrich-Alexander-Universität Erlangen-Nürnberg, Bavaria (Germany).
I received my bachelor’s degree from Northwestern Polytechnical University, Xi’an, China in 2018.
Then I got my master’s degree in control science and engineering from Beihang University, Beijing, China in 2021.
My research interests include modeling and control of dynamical systems, motion planning, and machine learning.
See more: News
Research interests
My research interests include
• Modeling and control of dynamical systems,
• motion planning,
• Machine learning
Projects
• CoDeFeL. Control for Deep and Federated Learning (2024 – now)
• DTN ModConFlex. Modelling and control of flexible structures interacting with fluids (2024 – now)
Academy
Course: Introduction to Control and Machine Learning (SS2022 – now)
Authors: Enrique Zuazua, Martín Hernández, Zhengping Ji, Yongcun Song, Ziqi Wang
Date: March 10, 2026
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Posts on Math & Research
PINNs Introductory Code for the Heat Equation
Authors: Ziqi Wang, Martín Hernández
Date: December 1, 2023
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Federated Learning: Protect your data and privacy
Authors: Ziqi Wang
Date: December 20, 2022
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News / Initiatives
Master thesis: Development of a Modular Multi-Agent System Architecture for Enhanced Flexibility and Scalability by Greshma Shaji. FAU
Authors: Ziqi Wang (Master supervisor)
Date: November 30, 2025
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A Potential Game Framework for Incentive Design in Federated Learning | Slides. FAU MoD/GMU workshop: The Mathematics of Scientific Machine Learning and Digital Twins.
Authors: Ziqi Wang
Date: November 20, 2025
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ModConFlex Second Network Meeting. DTN ModConFlex project | report
Authors: Giovanni Fantuzzi, Albert Alcalde, Ziqi Wang
Date: June, 2025
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CIN-PDE 2024, poster presentation. Conference on Control, Inversion and Numerics for PDEs. Fudan University, (Shanghai)
Authors: Yongcun Song, Ziqi Wang, Enrique Zuazua
Date: October 07 – 10, 2024
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Fedadmm-insa: an Inexact and Self-adaptive Admm for Federated Learning.
Authors: Yongcun Song, Ziqi Wang, Enrique Zuazua
Date: October 01, 2024
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Efficient federated learning via the alternating direction method of multipliers. FAU DCN-AvH Jr. Seminar
Authors: Ziqi Wang
Date: April 25, 2024
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Publications
2026
- , , :
A Potential Game Perspective in Federated Learning
(2026)
DOI: 10.48550/arXiv.2411.11793
URL: https://arxiv.org/abs/2411.11793
BibTeX: Download
2025
- , , :
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
In: Neural Networks 181 (2025), Article No.: 106772
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2024.106772
BibTeX: Download
