Daniel Becking

According to our database, Daniel Becking authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Efficient Federated Learning Tiny Language Models for Mobile Network Feature Prediction.

Daniel Becking, Ingo Friese, Karsten Müller, Thomas Buchholz, Mandy Galkow-Schneider, Wojciech Samek, Detlev Marpe

CoRR, April, 2025

Relevance-Guided Activation Sparsification for Bandwidth-Efficient Collaborative Inference.

Maximilian Andreas Hoefler, Daniel Becking, Karsten Müller, Detlev Marpe, Wojciech Samek

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Efficient Federated Learning of Mixed-Token Transformers for Cellular Feature Prediction.

Daniel Becking, Jost Arndt, Ingo Friese, Karsten Müller, Jackie Ma, Thomas Buchholz, Mandy Galkow-Schneider, Wojciech Samek, Detlev Marpe

Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024

Neural Network Coding of Difference Updates for Efficient Distributed Learning Communication.

Daniel Becking, Karsten Müller, Paul Haase, Heiner Kirchhoffer, Gerhard Tech, Wojciech Samek, Heiko Schwarz, Detlev Marpe, Thomas Wiegand

IEEE Trans. Multim., 2024

2022

History Dependent Significance Coding for Incremental Neural Network Compression.

Gerhard Tech, Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Müller, Jonathan Pfaff, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning.

Daniel Becking, Heiner Kirchhoffer, Gerhard Tech, Paul Haase, Karsten Müller, Heiko Schwarz, Wojciech Samek

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4Bit-Compact Multilayer Perceptrons.

Simon Wiedemann, Suhas Shivapakash, Daniel Becking, Pablo Wiedemann, Wojciech Samek, Friedel Gerfers, Thomas Wiegand

IEEE Open J. Circuits Syst., 2021

Encoder Optimizations For The NNR Standard On Neural Network Compression.

Paul Haase, Daniel Becking, Heiner Kirchhoffer, Karsten Müller, Heiko Schwarz, Wojciech Samek, Detlev Marpe, Thomas Wiegand

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

ECQ^x: Explainability-Driven Quantization for Low-Bit and Sparse DNNs.

Daniel Becking, Maximilian Dreyer, Wojciech Samek, Karsten Müller, Sebastian Lapuschkin

Proceedings of the xxAI - Beyond Explainable AI, 2020

Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T).

Arturo Marbán, Daniel Becking, Simon Wiedemann, Wojciech Samek

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020