Daniel Becking
Scholar

Daniel Becking

Google Scholar ID: 9iCPs2AAAAAJ
Research Associate, PhD candidate, Fraunhofer Heinrich Hertz Institute HHI, TU Berlin
efficient deep learningneural compressionneural network codingfederated learningXAI
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Citations & Impact
All-time
Citations
94
 
H-index
6
 
i10-index
4
 
Publications
15
 
Co-authors
10
list available
Contact
No contact links provided.
Publications
2 items
Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs
2026
Cited
0
Efficient Federated Learning Tiny Language Models for Mobile Network Feature Prediction
2025
Cited
0
Resume (English only)
Co-authors
10 total
Wojciech Samek
Wojciech Samek
Professor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD Fellow
Detlev Marpe
Detlev Marpe
Head of Department Video Communication & Applications, Fraunhofer HHI | IEEE Fellow
Thomas Wiegand
Thomas Wiegand
Professor, TU Berlin and Fraunhofer HHI, Berlin, Germany
Co-author 4
Co-author 4
Maximilian Dreyer
Maximilian Dreyer
Explainable AI Group, Fraunhofer Heinrich Hertz Institute
Sebastian Lapuschkin
Sebastian Lapuschkin
Head of Explainable AI, Fraunhofer Heinrich Hertz Institute
Co-author 7
Co-author 7
Co-author 8
Co-author 8