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Jan Baumbach — most-cited papers & profile · Federated Learning
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Jan Baumbach
8
papers ·
12
citations
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Most-cited papers
Federated Multi-Mini-Batch: An Efficient Training Approach to Federated Learning in Non-IID Environments
2020 · 8 citations
HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning
2021 · 3 citations
The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond
2021 · 1 citations
A Privacy-Preserving Ecosystem for Developing Machine Learning Algorithms Using Patient Data: Insights from the TUM.ai Makeathon
2025
FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image Classification
2025
Privacy-Preserving Multi-Center Differential Protein Abundance Analysis with FedProt
2024
Privacy-preserving Artificial Intelligence Techniques in Biomedicine
2020
FedRBE -- a decentralized privacy-preserving federated batch effect correction tool for omics data based on limma
2024
Top co-authors
Julian Matschinske
· 4
Reihaneh Torkzadehmahani
· 4
Reza Nasirigerdeh
· 4
Anne Hartebrodt
· 3
Julian Sp\"ath
· 3
Markus List
· 3
Olga Zolotareva
· 3
Richard R\"ottger
· 3
Tobias Frisch
· 3
Ahmad Taheri
· 2
Anastasia Pustozerova
· 2
Andreas Holzinger
· 2
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