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

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

Co-authors

6 total

Professor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD Fellow

Head of Department Video Communication & Applications, Fraunhofer HHI | IEEE Fellow

Professor, TU Berlin and Fraunhofer HHI, Berlin, Germany

Maximilian Dreyer

Explainable AI Group, Fraunhofer Heinrich Hertz Institute

Sebastian Lapuschkin

Head of Explainable AI, Fraunhofer Heinrich Hertz Institute

Klaus-Robert Müller

TU Berlin & Korea University & Google DeepMind & Max Planck Institute for Informatics, Germany