20 citations · 20 across the 2 of their papers we have counts for
3 papers
cs.LG2021
On Second-order Optimization Methods for Federated Learning
Sebastian Bischoff, Stephan Günnemann, Martin Jaggi +1
We consider federated learning (FL), where the training data is distributed across a large number of clients. The standard optimization method in this setting is Federated Averagin…
cs.CL2020★ 20 cited
The Importance of Suppressing Domain Style in Authorship Analysis
Sebastian Bischoff, Niklas Deckers, Marcel Schliebs +5
The prerequisite of many approaches to authorship analysis is a representation of writing style. But despite decades of research, it still remains unclear to what extent commonly u…
cs.LG2018
Feature Learning for Meta-Paths in Knowledge Graphs
Sebastian Bischoff
In this thesis, we study the problem of feature learning on heterogeneous knowledge graphs. These features can be used to perform tasks such as link prediction, classification and…