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
Contact
No contact links provided.
Publications
4 items
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 (English only)
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
63 total
risto wichman
Professor of Digital Signal Processing, Aalto University
Taneli Riihonen
Associate Professor at Tampere University
Reza Arablouei
CSIRO
Co-author 4
Co-author 5
Co-author 6
Co-author 7
Co-author 8
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