David S. Johnson

According to our database, David S. Johnson authored at least 3 papers between 2020 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

SEC-Learn: Sensor Edge Cloud for Federated Learning - Invited Paper.

Patrick Aichroth, Christoph Antes, Pierre Gembatzka, Holger Graf, David S. Johnson, Matthias Jung, Thomas Kämpfe, Thomas Kleinberger, Thomas Köllmer, Thomas Kuhn, Christoph Kutter, Jens Krüger, Dominik Marek Loroch, Hanna M. Lukashevich, Nellie Laleni, Lei Zhang, Johannes Leugering, Rodrigo Martín Fernández, Loreto Mateu, Shaown Mojumder, Benjamin Prautsch, Ferdinand Pscheidl, Karsten Roscher, Sören Schneickert, Frank Vanselow, Paul Wallbott, Oliver Walter, Nico Weber

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2021

DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection.

David S. Johnson, Wolfgang Lorenz, Michael Taenzer, Stylianos I. Mimilakis, Sascha Grollmisch, Jakob Abeßer, Hanna M. Lukashevich

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Techniques Improving the Robustness of Deep Learning Models for Industrial Sound Analysis.

David S. Johnson, Sascha Grollmisch

Proceedings of the 28th European Signal Processing Conference, 2020