Manuel Röder

PhD student, Faculty of Technology, Universität Bielefeld

Researcher, Faculty of Computer Science and Business Information Systems, Technical University of Applied Sciences Würzburg-Schweinfurt

Joined

March 2025

Names

Manuel Röder (Preferred)

Emails

****@thws.de (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

PhD student

Faculty of Technology, Universität Bielefeld (uni-bielefeld.de)

2024 – Present

Researcher

Faculty of Computer Science and Business Information Systems, Technical University of Applied Sciences Würzburg-Schweinfurt (thws.de)

2021 – Present

Advisors, Relations & Conflicts

PhD Advisor

Frank-Michael Schleif

2024 – Present

PhD Advisee

Barbara Hammer

2024 – Present

Expertise

federated learning

2021 – Present

Publications

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation
Manuel Röder, Christoph Raab, Frank-Michael Schleif
- CoRR 2025
- Readers: Everyone
Efficient Cross-Domain Federated Learning by MixStyle Approximation
Manuel Röder, Frank-Michael Schleif, Maximilian Münch, Leon Heller
- Reliable Multimodal Learning Across Domains Workshop @ ECML PKKD 2023
- Readers: Everyone
Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data
Manuel Röder, Frank-Michael Schleif
- ECML2024: 8th Intl. Worksh. and Tutorial on Interactive Adaptive Learning, Sep. 9th, 2024, Vilnius, Lithuania
- Readers: Everyone
Resource-Aware Cooperation in Federated Learning
Manuel Röder, Frank-Michael Schleif, Fabian Geiger
- ESANN
- Readers: Everyone
Sparse Uncertainty-Informed Sampling from Federated Streaming Data
Manuel Röder, Frank-Michael Schleif
- ESANN
- Readers: Everyone
Crossing Domain Borders with Federated Few-Shot Adaptation
Manuel Röder, Frank-Michael Schleif, Maximilian Münch, Christoph Raab
- ICPRAM
- Readers: Everyone
Driving Cooperation in Federated Learning via Evolutionary Game Theory
Manuel Röder, Fabian Geiger, Frank-Michael Schleif
- IJCNN 2025
- Readers: Everyone
On the Use of Smooth-L1 Approximation in Echo State Networks for Sparse and Efficient Temporal Modeling
Gengcheng Lyu, Manuel Röder, Frank-Michael Schleif
- IDEAL (1) 2025
- Readers: Everyone
Static and adaptive subspace information fusion for indefinite heterogeneous proximity data
Maximilian Münch, Manuel Röder, Simon Heilig, Christoph Raab, Frank-Michael Schleif
- Published: 01 Jan 2023, Last Modified: 10 Feb 2024
- Neurocomputing 2023
- Readers: Everyone
Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models
Maximilian Münch, Manuel Röder, Frank-Michael Schleif
- Published: 01 Jan 2023, Last Modified: 10 Feb 2024
- CIKM 2023
- Readers: Everyone

View all 12 publications

Manuel Röder

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors