Loading...
The system can't perform the operation now. Try again later.
Citations per year
Duplicate citations
The following articles are merged in Scholar. Their
combined citations
are counted only for the first article.
Merged citations
This "Cited by" count includes citations to the following articles in Scholar. The ones marked
*
may be different from the article in the profile.
Add co-authors
Co-authors
Follow
New articles by this author
New citations to this author
New articles related to this author's research
Email address for updates
Done
My profile
My library
Metrics
Alerts
Settings
Sign in
Sign in
Get my own profile
Cited by
All
Since 2019
Citations
28
28
h-index
4
4
i10-index
1
1
0
14
7
2022
2023
2024
9
14
5
Public access
View all
View all
1 article
0 articles
available
not available
Based on funding mandates
Co-authors
Ali Sunyaev
Karlsruhe Institute of Technology (KIT)
Verified email at kit.edu
Niclas Kannengießer
Research Associate, Karlsruhe Institute of Technology
Verified email at kit.edu
Tobias Dehling
Karlsruhe Institute of Technology
Verified email at kit.edu
Salman Toor
Uppsala University, ScaleoutSystems
Verified email at it.uu.se
Follow
Felix Morsbach
PhD Student @
Karlsruhe Institute of Technology
Verified email at kit.edu -
Homepage
Articles
Cited by
Public access
Co-authors
Title
Sort
Sort by citations
Sort by year
Sort by title
Cited by
Cited by
Year
Why Do Machine Learning Practitioners Still Use Manual Tuning? A Qualitative Study
N Hasebrook, F Morsbach, N Kannengießer, J Franke, F Hutter, ...
arXiv preprint arXiv:2203.01717
, 2022
12
2022
Practitioner Motives to Select Hyperparameter Optimization Methods
N Hasebrook, F Morsbach, N Kannengießer, M Zöller, J Franke, ...
arXiv preprint arXiv:2203.01717
, 2022
5
2022
Architecture Matters: Investigating the Influence of Differential Privacy on Neural Network Design
F Morsbach, T Dehling, A Sunyaev
NeurIPS 2021 Workshop on Privacy in Machine Learning (PriML 2021)
, 2021
5
2021
Hardened Model Aggregation for Federated Learning backed by Distributed Trust Towards decentralizing Federated Learning using a Blockchain
M Felix Johannes
4
2020
DecFL: An Ubiquitous Decentralized Model Training Protocol and Framework Empowered by Blockchain
F Morsbach, S Toor
Proceedings of the 3rd ACM International Symposium on Blockchain and Secure …
, 2021
2
2021
The system can't perform the operation now. Try again later.
Articles 1–5
Show more
Privacy
Terms
Help
About Scholar
Search help