2 citations · 2 across the 2 of their papers we have counts for
3 papers
Privacy of federated QR decomposition using additive secure multiparty computation
Anne Hartebrodt, Richard Röttger
Federated learning (FL) is a privacy-aware data mining strategy keeping the private data on the owners' machine and thereby confidential. The clients compute local models and send…
Federated singular value decomposition for high dimensional data
Anne Hartebrodt, Richard Röttger, David B. Blumenthal
Federated learning (FL) is emerging as a privacy-aware alternative to classical cloud-based machine learning. In FL, the sensitive data remains in data silos and only aggregated pa…
The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond
Julian Matschinske, Julian Späth, Reza Nasirigerdeh +29
Machine Learning (ML) and Artificial Intelligence (AI) have shown promising results in many areas and are driven by the increasing amount of available data. However, this data is o…