Poisoning Attacks with Generative Adversarial Nets. - Luis Muñoz-González; Bjarne Pfitzner; Matteo Russo 003; Javier Carnerero-Cano; Emil C. Lupu (CoRR, 2019)

Tangle Ledger for Decentralized Learning. - Robert Schmid; Bjarne Pfitzner; Jossekin Beilharz; Bert Arnrich; Andreas Polze (IPDPS Workshops, 2020)

Data Augmentation of Kinematic Time-Series From Rehabilitation Exercises Using GANs. - Justin Amadeus Albert; Pawel Glöckner; Bjarne Pfitzner; Bert Arnrich (COINS, 2021)

Perioperative Risk Assessment in Pancreatic Surgery Using Machine Learning. - Bjarne Pfitzner; Jonas Chromik; Rachel Brabender; Eric Fischer; Alexander Kromer; Axel Winter; Simon Moosburner; Igor M. Sauer; Thomas Malinka; Johann Pratschke; Bert Arnrich; Max M. Maurer (EMBC, 2021)

Differentially Private Federated Learningfor Anomaly Detection in eHealth Networks. - Ana Cholakoska; Bjarne Pfitzner; Hristijan Gjoreski; Valentin Rakovic; Bert Arnrich; Marija Kalendar (UbiComp/ISWC Adjunct, 2021)

Sensor-Based Obsessive-Compulsive Disorder Detection With Personalised Federated Learning. - Kristina Kirsten; Bjarne Pfitzner; Lando Löper; Bert Arnrich (ICMLA, 2021)

Implicit model specialization through dag-based decentralized federated learning. - Jossekin Beilharz; Bjarne Pfitzner; Robert Schmid; Paul Geppert; Bert Arnrich; Andreas Polze (Middleware, 2021)

Federated Learning in a Medical Context: A Systematic Literature Review. - Bjarne Pfitzner; Nico Steckhan; Bert Arnrich (ACM Trans. Internet Techn., 2021)

Forecasting Thresholds Alarms in Medical Patient Monitors using Time Series Models. - Jonas Chromik; Bjarne Pfitzner; Nina Ihde; Marius Michaelis; Denise Schmidt; Sophie Anne Ines Klopfenstein; Akira-Sebastian Poncette; Felix Balzer; Bert Arnrich (HEALTHINF, 2022)

Extracting Alarm Events from the MIMIC-III Clinical Database. - Jonas Chromik; Bjarne Pfitzner; Nina Ihde; Marius Michaelis; Denise Schmidt; Sophie Anne Ines Klopfenstein; Akira-Sebastian Poncette; Felix Balzer; Bert Arnrich (HEALTHINF, 2022)

Predictive Alarm Prevention by Forecasting Threshold Alarms at the Intensive Care Unit. - Jonas Chromik; Bjarne Pfitzner; Nina Ihde; Marius Michaelis; Denise Schmidt; Sophie Anne Ines Klopfenstein; Akira-Sebastian Poncette; Felix Balzer; Bert Arnrich (BIOSTEC (Selected Papers), 2022)

DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder. - Bjarne Pfitzner; Bert Arnrich (CoRR, 2022)

Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review. - Jonas Chromik; Sophie Anne Ines Klopfenstein; Bjarne Pfitzner; Zeena-Carola Sinno; Bert Arnrich; Felix Balzer; Akira-Sebastian Poncette (Frontiers Digit. Health, 2022)

Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data. - Joceline Ziegler; Bjarne Pfitzner; Heinrich Schulz; Axel Saalbach; Bert Arnrich (Sensors, 2022)

Federated Learning for Activity Recognition: A System Level Perspective. - Stefan Kalabakov; Borche Jovanovski; Daniel Denkovski; Valentin Rakovic; Bjarne Pfitzner; Orhan Konak; Bert Arnrich; Hristijan Gjoreski (IEEE Access, 2023)

Federated Learning for Network Intrusion Detection in Ambient Assisted Living Environments. - Ana Cholakoska; Hristijan Gjoreski; Valentin Rakovic; Daniel Denkovski; Marija Kalendar; Bjarne Pfitzner; Bert Arnrich (IEEE Internet Comput., 2023)