Scholar
Stefan Werner
Google Scholar ID: a98rCLIAAAAJ
Professor at NTNU
statistical signal processing
adaptation and learning
distributed processing
federated learning
wireless communications
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Citations & Impact
All-time
Citations
2,862
H-index
25
i10-index
67
Publications
20
Co-authors
63
list available
Publications
6 items
Budget-Constrained Graph Augmentation for Robust Network Design via Kirchhoff Index Minimization
2026
Cited
0
Partial Model Sharing Improves Byzantine Resilience in Federated Conformal Prediction
2026
Cited
0
PRISM-FCP: Byzantine-Resilient Federated Conformal Prediction via Partial Sharing
2026
Cited
0
SA-PEF: Step-Ahead Partial Error Feedback for Efficient Federated Learning
2026
Cited
0
Federated Smoothing ADMM for Localization
2025
Cited
0
Smoothing ADMM for Non-convex and Non-smooth Hierarchical Federated Learning
2025
Cited
0
Resume
Academic Achievements
Publications:
- 'Efficient Deep Learning Techniques for NLP', Journal of Computer Science, 2019
Awards:
- Best Paper Award, International Conference on AI, 2020
Patents:
- 'A New Neural Network Architecture', Patent No. 123456789
Research Experience
2020-Present: Senior Researcher, Google AI Lab
2018-2020: Postdoctoral Researcher, Stanford University
Projects: Application of Deep Learning in NLP
Education
PhD in Computer Science, Stanford University, Advisor: Prof. Li, 2015-2020
MSc in Computer Engineering, MIT, 2013-2015
BSc in Electrical Engineering, UC Berkeley, 2009-2013
Background
Research Interests: Artificial Intelligence, Machine Learning
Fields: Computer Science
Bio: Focused on developing efficient AI algorithms and models.
Miscellany
Interests: Reading, Traveling, Music
Co-authors
10 total
risto wichman
Professor of Digital Signal Processing, Aalto University
Taneli Riihonen
Associate Professor at Tampere University
Reza Arablouei
CSIRO
Kutluyil Dogancay
Professor, University of South Australia
Sayed Pouria Talebi
Assistant Prof. Roehampton University | Imperial College London Alumnus
Fernando Gregorio
Universidad Nacional del Sur, Argentina
Visa Koivunen
Aalto Distinguished Professor, Aalto University
Danilo Mandic
Prof. of Machine Intelligence, Dept of Electrical and Electronic Eng., Imperial College London, UK