EDI und UN/EDIFACT: Noch ist Zeit zum Agieren. - Patrick Maeder (Electron. Mark., 1995)

Traceability for Managing Evolutionary Change. - Patrick Maeder; Matthias Riebisch; Ilka Philippow (SEDE, 2006)

Aufrechterhaltung von Traceability Links während evolutionärer Softwareentwicklung. - Patrick Mäder; Matthias Riebisch; Ilka Philippow (Softwaretechnik-Trends, 2006)

Customizing Traceability Links for the Unified Process. - Patrick Mäder; Ilka Philippow; Matthias Riebisch (QoSA, 2007)

A Traceability Link Model for the Unified Process. - Patrick Maeder; Ilka Philippow; Matthias Riebisch (SNPD (3), 2007)

Enabling Automated Traceability Maintenance by Recognizing Development Activities Applied to Models. - Patrick Mäder; Orlena Gotel; Ilka Philippow (ASE, 2008)

traceMaintainer - Automated Traceability Maintenance. - Patrick Mäder; Orlena Gotel; Tobias Kuschke; Ilka Philippow (RE, 2008)

Rule-Based Maintenance of Post-Requirements Traceability Relations. - Patrick Mäder; Orlena Gotel; Ilka Philippow (RE, 2008)

Enabling Automated Traceability Maintenance through the Upkeep of Traceability Relations. - Patrick Mäder; Orlena Gotel; Ilka Philippow (ECMDA-FA, 2009)

(Halb-)Automatische Pflege von Anforderungs-Traceability. - Patrick Mäder (Ausgezeichnete Informatikdissertationen, 2009)

Semi-automated traceability maintenance: An architectural overview of traceMaintainer. - Patrick Mäder; Orlena Gotel; Ilka Philippow (ICSE Companion, 2009)

Getting back to basics: Promoting the use of a traceability information model in practice. - Patrick Mäder; Orlena Gotel; Ilka Philippow (TEFSE@ICSE, 2009)

How to Select a Requirements Management Tool: Initial Steps. - Orlena Gotel; Patrick Mäder (RE, 2009)

Motivation Matters in the Traceability Trenches. - Patrick Mäder; Orlena Gotel; Ilka Philippow (RE, 2009)

A Taxonomy and Visual Notation for Modeling Globally Distributed Requirements Engineering Projects. - Paula Laurent; Patrick Mäder; Jane Cleland-Huang; Adam Steele (ICGSE, 2010)

A Visual Traceability Modeling Language. - Patrick Mäder; Jane Cleland-Huang (MoDELS (1), 2010)

Design Pattern Recovery based on Pattern Features. - Ghulam Rasool 002; Patrick Maeder; Ilka Philippow (Software Engineering Research and Practice, 2010)

Design pattern recovery based on annotations. - Ghulam Rasool 002; Ilka Philippow; Patrick Mäder (Adv. Eng. Softw., 2010)

Rule-based maintenance of post-requirements traceability. - Patrick Mäder (2010)

Fine-Tuning Model Transformation: Change Propagation in Context of Consistency, Completeness, and Human Guidance. - Alexander Egyed; Andreas Demuth; Achraf Ghabi; Roberto Erick Lopez-Herrejon; Patrick Mäder; Alexander Nöhrer; Alexander Reder (ICMT@TOOLS, 2011)

Grand challenges, benchmarks, and TraceLab: developing infrastructure for the software traceability research community. - Jane Cleland-Huang; Adam Czauderna; Alex Dekhtyar; Olly Gotel; Jane Huffman Hayes; Ed Keenan; Greg Leach; Jonathan I. Maletic; Denys Poshyvanyk; Yonghee Shin; Andrea Zisman; Giuliano Antoniol; et al. (EFSE@ICSE, 2011)

Do software engineers benefit from source code navigation with traceability? - An experiment in software change management. - Patrick Mäder; Alexander Egyed (ASE, 2011)

Flexible design pattern detection based on feature types. - Ghulam Rasool 002; Patrick Mäder (ASE, 2011)

Evaluation of design pattern recovery tools. - Ghulam Rasool 002; Patrick Maeder; Ilka Philippow (WCIT, 2011)

Traceability Fundamentals. - Orlena Gotel; Jane Cleland-Huang; Jane Huffman Hayes; Andrea Zisman; Alexander Egyed; Paul Grünbacher; Alex Dekhtyar; Giuliano Antoniol; Jonathan I. Maletic; Patrick Mäder (Software and Systems Traceability, 2012)

Acquiring Tool Support for Traceability. - Orlena Gotel; Patrick Mäder (Software and Systems Traceability, 2012)

Ready-to-Use Traceability on Evolving Projects. - Patrick Mäder; Orlena Gotel (Software and Systems Traceability, 2012)

Do data dependencies in source code complement call dependencies for understanding requirements traceability? - Hongyu Kuang; Patrick Mäder; Hao Hu 001; Achraf Ghabi; LiGuo Huang; Jian Lv 001; Alexander Egyed (ICSM, 2012)

Assessing the effect of requirements traceability for software maintenance. - Patrick Mäder; Alexander Egyed (ICSM, 2012)

Breaking the big-bang practice of traceability: Pushing timely trace recommendations to project stakeholders. - Jane Cleland-Huang; Patrick Mäder; Mehdi Mirakhorli; Sorawit Amornborvornwong (RE, 2012)

Trace Queries for Safety Requirements in High Assurance Systems. - Jane Cleland-Huang; Mats Per Erik Heimdahl; Jane Huffman Hayes; Robyn R. Lutz; Patrick Maeder (REFSQ, 2012)

Variability points and design pattern usage in architectural tactics. - Mehdi Mirakhorli; Patrick Mäder; Jane Cleland-Huang (SIGSOFT FSE, 2012)

Towards automated traceability maintenance. - Patrick Mäder; Orlena Gotel (J. Syst. Softw., 2012)

Towards feature-aware retrieval of refinement traces. - Patrick Rempel; Patrick Mäder; Tobias Kuschke (TEFSE@ICSE, 2013)

Recommending Auto-completions for Software Modeling Activities. - Tobias Kuschke; Patrick Mäder; Patrick Rempel (MoDELS, 2013)

A domain-centric approach for recommending architectural tactics to satisfy quality concerns. - Mehdi Mirakhorli; Julia Carvalho; Jane Cleland-Huang; Patrick Mäder (TwinPeaks@RE, 2013)

An empirical study on project-specific traceability strategies. - Patrick Rempel; Patrick Mäder; Tobias Kuschke (RE, 2013)

A Survey on Usage Scenarios for Requirements Traceability in Practice. - Elke Bouillon; Patrick Mäder; Ilka Philippow (REFSQ, 2013)

Requirements Traceability across Organizational Boundaries - A Survey and Taxonomy. - Patrick Rempel; Patrick Mäder; Tobias Kuschke; Ilka Philippow (REFSQ, 2013)

Interactive Traceability Querying and Visualization for Coping With Development Complexity - Patrick Mäder (CoRR, 2013)

Strategic Traceability for Safety-Critical Projects. - Patrick Mäder; Paul L. Jones; Yi Zhang 051; Jane Cleland-Huang (IEEE Softw., 2013)

A visual language for modeling and executing traceability queries. - Patrick Mäder; Jane Cleland-Huang (Softw. Syst. Model., 2013)

Software traceability: trends and future directions. - Jane Cleland-Huang; Orlena Gotel; Jane Huffman Hayes; Patrick Mäder; Andrea Zisman (FOSE, 2014)

Mind the gap: assessing the conformance of software traceability to relevant guidelines. - Patrick Rempel; Patrick Mäder; Tobias Kuschke; Jane Cleland-Huang (ICSE, 2014)

Pattern-based auto-completion of UML modeling activities. - Tobias Kuschke; Patrick Mäder (ASE, 2014)

Achieving lightweight trustworthy traceability. - Jane Cleland-Huang; Mona Rahimi; Patrick Mäder (SIGSOFT FSE, 2014)

Live Study Proposal: Collecting Natural Language Trace Queries. - Sugandha Lohar; Jane Cleland-Huang; Alexander Rasin; Patrick Mäder (REFSQ Workshops, 2015)

Estimating the Implementation Risk of Requirements in Agile Software Development Projects with Traceability Metrics. - Patrick Rempel; Patrick Mäder (REFSQ, 2015)

Traceability Gap Analysis for Assessing the Conformance of Software Traceability to Relevant Guidelines. - Patrick Rempel; Patrick Mäder; Tobias Kuschke; Jane Cleland-Huang (Software Engineering & Management, 2015)

Software and Systems Traceability for Safety-Critical Projects (Dagstuhl Seminar 15162). - Jane Cleland-Huang; Sanjai Rayadurgam; Patrick Mäder; Wilhelm Schäfer (Dagstuhl Reports, 2015)

Do developers benefit from requirements traceability when evolving and maintaining a software system? - Patrick Mäder; Alexander Egyed (Empir. Softw. Eng., 2015)

Can method data dependencies support the assessment of traceability between requirements and source code? - Hongyu Kuang; Patrick Mäder; Hao Hu 001; Achraf Ghabi; LiGuo Huang; Jian Lü 001; Alexander Egyed (J. Softw. Evol. Process., 2015)

From Raw Project Data to Business Intelligence. - Patrick Mäder; Jane Cleland-Huang (IEEE Softw., 2015)

Continuous assessment of software traceability. - Patrick Rempel; Patrick Mäder (ICSE (Companion Volume), 2016)

How Firms Adapt and Interact in Open Source Ecosystems: Analyzing Stakeholder Influence and Collaboration Patterns. - Johan Linåker; Patrick Rempel; Björn Regnell; Patrick Mäder (REFSQ, 2016)

A quality model for the systematic assessment of requirements traceability. - Patrick Rempel; Patrick Mäder (Software Engineering, 2016)

RapMOD - in situ auto-completion for graphical models: poster. - Tobias Kuschke; Patrick Mäder (ICSE (Companion Volume), 2017)

The IlmSeven Dataset. - Michael Rath 002; Patrick Rempel; Patrick Mäder (RE, 2017)

Are Graph Query Languages Applicable for Requirements Traceability Analysis? - Michael Rath 002; David Akehurst; Christoph Borowski; Patrick Mäder (REFSQ Workshops, 2017)

Analyzing closeness of code dependencies for improving IR-based Traceability Recovery. - Hongyu Kuang; Jia Nie; Hao Hu 001; Patrick Rempel; Jian Lu 001; Alexander Egyed; Patrick Mäder (SANER, 2017)

Empirical studies in software and systems traceability. - Patrick Mäder; Rocco Oliveto; Andrian Marcus (Empir. Softw. Eng., 2017)

Preventing Defects: The Impact of Requirements Traceability Completeness on Software Quality. - Patrick Rempel; Patrick Mäder (IEEE Trans. Software Eng., 2017)

Influence of Structured Information in Bug Report Descriptions on IR-Based Bug Localization. - Michael Rath 002; Patrick Mäder (SEAA, 2018)

DLR secure software engineering: position and vision paper. - Rohan Krishnamurthy; Michael Meinel; Carina Haupt; Andreas Schreiber 001; Patrick Mäder (SEAD@ICSE, 2018)

Use of trace link types in issue tracking systems. - Mihaela Todorova Tomova; Michael Rath 002; Patrick Mäder (ICSE (Companion Volume), 2018)

Analyzing requirements and traceability information to improve bug localization. - Michael Rath 002; David Lo 001; Patrick Mäder (MSR, 2018)

Recommending plant taxa for supporting on-site species identification. - Hans Christian Wittich; Marco Seeland; Jana Wäldchen; Michael Rzanny; Patrick Mäder (BMC Bioinform., 2018)

Automated plant species identification - Trends and future directions. - Jana Wäldchen; Michael Rzanny; Marco Seeland; Patrick Mäder (PLoS Comput. Biol., 2018)

State of the Art of Traceability in Open-Source Projects. - Michael Rath 002; Maksim Goman; Patrick Mäder (Softwaretechnik-Trends, 2018)

Lessons Learned from Analyzing Requirements Traceability using a Graph Database. - Maksim Goman; Michael Rath 002; Patrick Mäder (Softwaretechnik-Trends, 2018)

Preprocessing Texts in Issue Tracking Systems to improve IR Techniques for Trace Creation. - Mihaela Todorova Tomova; Michael Rath 002; Patrick Mäder (Softwaretechnik-Trends, 2018)

Using frugal user feedback with closeness analysis on code to improve IR-based traceability recovery. - Hongyu Kuang; Hui Gao; Hao Hu 001; Xiaoxing Ma; Jian Lu 001; Patrick Mäder; Alexander Egyed (ICPC, 2019)

Selecting Open Source Projects for Traceability Case Studies. - Michael Rath 002; Mihaela Todorova Tomova; Patrick Mäder (REFSQ, 2019)

Preface. - Paola Spoletini; Patrick Mäder (REFSQ Workshops, 2019)

Traceability in the Wild: Automatically Augmenting Incomplete Trace Links. - Michael Rath 002; Jacob Rendall; Jin L. C. Guo; Jane Cleland-Huang; Patrick Mäder (SE/SWM, 2019)

A Machine Learning Approach for Detecting Ultrasonic Echoes in Noisy Environments. - Mohamed-Elamir Mohamed; Heinrich Gotzig; Raoul Zoellner; Patrick Maeder (VTC Spring, 2019)

Image-based classification of plant genus and family for trained and untrained plant species. - Marco Seeland; Michael Rzanny; David Boho; Jana Wäldchen; Patrick Mäder (BMC Bioinform., 2019)

FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving. - Varun Ravi Kumar; Sandesh Athni Hiremath; Stefan Milz; Christian Witt; Clément Pinard; Senthil Kumar Yogamani; Patrick Mäder (CoRR, 2019)

Efficiently Annotating Object Images with Absolute Size Information Using Mobile Devices. - Martin Hofmann 019; Marco Seeland; Patrick Mäder (Int. J. Comput. Vis., 2019)

Structured information in bug report descriptions - influence on IR-based bug localization and developers. - Michael Rath 002; Patrick Mäder (Softw. Qual. J., 2019)

FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving. - Varun Ravi Kumar; Sandesh Athni Hiremath; Markus Bach; Stefan Milz; Christian Witt; Clément Pinard; Senthil Kumar Yogamani; Patrick Mäder (ICRA, 2020)

UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models. - Varun Ravi Kumar; Senthil Kumar Yogamani; Markus Bach; Christian Witt; Stefan Milz; Patrick Mäder (IROS, 2020)

Request for comments: conversation patterns in issue tracking systems of open-source projects. - Michael Rath 002; Patrick Mäder (SAC, 2020)

SpojitR: Intelligently Link Development Artifacts. - Michael Rath 002; Mihaela Todorova Tomova; Patrick Mäder (SANER, 2020)

Flora Capture: a citizen science application for collecting structured plant observations. - David Boho; Michael Rzanny; Jana Wäldchen; Fabian Nitsche; Alice Deggelmann; Hans Christian Wittich; Marco Seeland; Patrick Mäder (BMC Bioinform., 2020)

Erste Überlegungen zur Erklärbarkeit von Deep-Learning-Modellen für die Analyse von Quellcode. - Tim Sonnekalb; Thomas S. Heinze; Patrick Mäder (Softwaretechnik-Trends, 2020)

StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks. - Kai Fischer; Martin Simon; Florian Ölsner; Stefan Milz; Horst-Michael Gross; Patrick Mäder (CVPR, 2021)

Development Methodologies for Safety Critical Machine Learning Applications in the Automotive Domain: A Survey. - Martin Rabe; Stefan Milz; Patrick Mäder (CVPR Workshops, 2021)

FisheyeDistanceNet++: Self-Supervised Fisheye Distance Estimation with Self-Attention, Robust Loss Function and Camera View Generalization. - Varun Ravi Kumar; Senthil Kumar Yogamani; Stefan Milz; Patrick Mäder (Autonomous Vehicles and Machines, 2021)

BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving. - Sambit Mohapatra; Senthil Kumar Yogamani; Heinrich Gotzig; Stefan Milz; Patrick Mäder (ITSC, 2021)

SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. - Varun Ravi Kumar; Marvin Klingner; Senthil Kumar Yogamani; Stefan Milz; Tim Fingscheidt; Patrick Mäder (WACV, 2021)

OmniDet: Surround View Cameras Based Multi-Task Visual Perception Network for Autonomous Driving. - Varun Ravi Kumar; Senthil Kumar Yogamani; Hazem Rashed; Ganesh Sistu; Christian Witt; Isabelle Leang; Stefan Milz; Patrick Mäder (IEEE Robotics Autom. Lett., 2021)

Reactive Auto-Completion of Modeling Activities. - Patrick Mäder; Tobias Kuschke; Mario Janke (IEEE Trans. Software Eng., 2021)

SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving. - Sambit Mohapatra; Thomas Mesquida; Mona Hodaei; Senthil Kumar Yogamani; Heinrich Gotzig; Patrick Maeder (EBCCSP, 2022)

Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery. - Hui Gao; Hongyu Kuang; Kexin Sun; Xiaoxing Ma; Alexander Egyed; Patrick Mäder; Guoping Rong; Dong Shao; He Zhang 001 (ASE, 2022)

Generalizability of Code Clone Detection on CodeBERT. - Tim Sonnekalb; Bernd Gruner; Clemens-Alexander Brust; Patrick Mäder (ASE, 2022)

LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation. - Sambit Mohapatra; Mona Hodaei; Senthil Kumar Yogamani; Stefan Milz; Heinrich Gotzig; Martin Simon; Hazem Rashed; Patrick Maeder (VISIGRAPP (5: VISAPP), 2022)

StickyLocalization: Robust End-To-End Relocalization on Point Clouds using Graph Neural Networks. - Kai Fischer; Martin Simon; Stefan Milz; Patrick Mäder (WACV, 2022)

PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage. - Daniel Scheliga; Patrick Mäder; Marco Seeland (WACV, 2022)

A deep learning approach for direction of arrival estimation using automotive-grade ultrasonic sensors. - Mohamed Shawki Elamir; Heinrich Gotzig; Raoul Zoellner; Patrick Maeder (CoRR, 2022)

Direct data-driven forecast of local turbulent heat flux in Rayleigh-Bénard convection. - Sandeep Pandey; Philipp Teutsch; Patrick Mäder; Jörg Schumacher (CoRR, 2022)

Combining Variational Modeling with Partial Gradient Perturbation to Prevent Deep Gradient Leakage. - Daniel Scheliga; Patrick Mäder; Marco Seeland (CoRR, 2022)

Propagating frugal user feedback through closeness of code dependencies to improve IR-based traceability recovery. - Hui Gao; Hongyu Kuang; Xiaoxing Ma; Hao Hu 001; Jian Lü 001; Patrick Mäder; Alexander Egyed (Empir. Softw. Eng., 2022)

Deep security analysis of program code. - Tim Sonnekalb; Thomas S. Heinze; Patrick Mäder (Empir. Softw. Eng., 2022)

SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. - Varun Ravi Kumar; Marvin Klingner; Senthil Kumar Yogamani; Markus Bach; Stefan Milz; Tim Fingscheidt; Patrick Mäder (IEEE Trans. Intell. Transp. Syst., 2022)

Flipped Classroom: Effective Teaching for Time Series Forecasting. - Philipp Teutsch; Patrick Mäder (Trans. Mach. Learn. Res., 2022)

Synaptic Scaling - An Artificial Neural Network Regularization Inspired by Nature. - Martin Hofmann 019; Patrick Mäder (IEEE Trans. Neural Networks Learn. Syst., 2022)

Graph Based Mining of Code Change Patterns From Version Control Commits. - Mario Janke; Patrick Mäder (IEEE Trans. Software Eng., 2022)

Dropout Is NOT All You Need to Prevent Gradient Leakage. - Daniel Scheliga; Patrick Maeder; Marco Seeland (AAAI, 2023)

A Static Analysis Platform for Investigating Security Trends in Repositories. - Tim Sonnekalb; Christopher-Tobias Knaust; Bernd Gruner; Clemens-Alexander Brust; Thomas S. Heinze; Lynn von Kurnatowski; Andreas Schreiber 001; Patrick Mäder (SVM, 2023)

Parameterizing echo state networks for multi-step time series prediction. - Johannes Viehweg; Karl Worthmann; Patrick Mäder (Neurocomputing, 2023)

A systematic comparison of deep learning methods for EEG time series analysis. - Dominik Walther; Johannes Viehweg; Jens Haueisen; Patrick Mäder (Frontiers Neuroinformatics, 2023)

${ text{FS}^{3}}_{ text{change}}$FS3change: A Scalable Method for Change Pattern Mining. - Mario Janke; Patrick Mäder (IEEE Trans. Software Eng., 2023)

Weakly Supervised End2End Deep Visual Odometry. - Amin Abouee; Ashwanth Ravi; Lars Hinneburg; Mateusz Dziwulski; Florian Ölsner; Jürgen Hess 005; Stefan Milz; Patrick Mäder (CVPR Workshops, 2024)

Collaboration Management for Federated Learning. - Marius Schlegel; Daniel Scheliga; Kai-Uwe Sattler; Marco Seeland; Patrick Mäder (ICDEW, 2024)

MagneticPillars: Efficient Point Cloud Registration through Hierarchized Birds-Eye-View Cell Correspondence Refinement. - Kai Fischer; Martin Simon; Stefan Milz; Patrick Mäder (WACV, 2024)

Assessing the utility of text-to-SQL approaches for satisfying software developer information needs. - Mihaela Todorova Tomova; Martin Hofmann 019; Constantin Hütterer; Patrick Mäder (Empir. Softw. Eng., 2024)

Detektion von Prozessunregelmäßigkeiten beim MSG-Schweißen durch Analyse des Luftschallsignals mittels Convolutional Neural Network (CNN). - Julian Brückner; Maximilian Rohe; Dominik Walther; Jörg Hildebrand; Jean Pierre Bergmann; Patrick Mäder (Autom., 2024)

Feature-Based Dataset Fingerprinting for Clustered Federated Learning on Medical Image Data. - Daniel Scheliga; Patrick Mäder; Marco Seeland (Appl. Artif. Intell., 2024)

A systematic study of Echo State Networks topologies for chaotic time series prediction. - Johannes Viehweg; Philipp Teutsch; Patrick Mäder (Neurocomputing, 2025)

Temporal convolution derived multi-layered reservoir computing. - Johannes Viehweg; Dominik Walther; Patrick Mäder (Neurocomputing, 2025)

Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system. - Philipp Teutsch; Philipp Pfeffer; Mohammad Sharifi Ghazijahani; Christian Cierpka; Jörg Schumacher; Patrick Mäder (CoRR, 2025)

Bootstrapping Corner Cases: High-Resolution Inpainting for Safety Critical Detect and Avoid for Automated Flying. - Jonathan Lyhs; Lars Hinneburg; Michael Fischer; Florian Ölsner; Stefan Milz; Jeremy Tschirner; Patrick Mäder (CoRR, 2025)

Deterministic Reservoir Computing for Chaotic Time Series Prediction. - Johannes Viehweg; Constanze Poll; Patrick Mäder (CoRR, 2025)

Light Distribution Models for Tree Growth Simulation. - Tristan Nauber; Patrick Mäder (Comput. Graph. Forum, 2025)

LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving. - Sambit Mohapatra; Senthil Kumar Yogamani; Varun Ravi Kumar; Stefan Milz; Heinrich Gotzig; Patrick Mäder (IEEE Trans. Intell. Transp. Syst., 2025)

MagneticPillars++: Efficient LiDAR Odometry Via Deep Frame-To-Keyframe Point Cloud Registration. - Kai Fischer; Martin Simon; Stefan Milz; Patrick Mäder (Appl. Artif. Intell., 2025)

Privacy preserving federated learning with convolutional variational bottlenecks. - Daniel Scheliga; Patrick Mäder; Marco Seeland (Cybersecur., 2025)