2 papers
eess.IV2024
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation
Philip Schutte, Valentina Corbetta, Regina Beets-Tan +1
Federated Learning (FL) in Deep Learning (DL)-automated medical image segmentation helps preserving privacy by enabling collaborative model training without sharing patient data. H…
math.DS2023
Invariant Ruelle Distributions on Convex-Cocompact Hyperbolic Surfaces -- A Numerical Algorithm via Weighted Zeta Functions
Philipp Schütte, Tobias Weich
We present a numerical algorithm for the computation of invariant Ruelle distributions on convex co-compact hyperbolic surfaces. This is achieved by exploiting the connection betwe…