Daniel Scheliga

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Lifelong Learning

Gradient Direction

Privacy Preserving

Top Venues

Publications

Marius Schlegel, Daniel Scheliga, Kai-Uwe Sattler, Marco Seeland, Patrick Mäder
Collaboration Management for Federated Learning. ICDEW (2024)
Daniel Scheliga, Patrick Mäder, Marco Seeland
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks. CoRR (2023)
Daniel Scheliga, Patrick Maeder, Marco Seeland
Dropout Is NOT All You Need to Prevent Gradient Leakage. AAAI (2023)
Daniel Scheliga, Patrick Mäder, Marco Seeland
Combining Variational Modeling with Partial Gradient Perturbation to Prevent Deep Gradient Leakage. CoRR (2022)
Daniel Scheliga, Patrick Mäder, Marco Seeland
PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage. WACV (2022)
Daniel Scheliga, Patrick Mäder, Marco Seeland
Dropout is NOT All You Need to Prevent Gradient Leakage. CoRR (2022)
Daniel Scheliga, Patrick Mäder, Marco Seeland
PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage. CoRR (2021)