4 papers
autowerkstatt4null: An Off-Board-Diagnostics Ecosystem for Car-Workshops
Stephan Bökelmann, Rene Glitza, Meihui Huang +3
This paper presents autowerkstatt4null, a three-year initiative to empower independent automotive workshops with AI-driven, federated diagnostics. The project was funded by the Ger…
Cooperative Multi-Agent Reinforcement Learning for Adaptive Aggregation in Semi-Supervised Federated Learning with non-IID Data
Rene Glitza, Luca Becker, Rainer Martin
Federated Learning (FL) enables distributed training of machine learning models while preserving data privacy. However, FL struggles with heterogeneous, non-IID client data distrib…
Unsupervised Clustered Federated Learning in Complex Multi-source Acoustic Environments
Alexandru Nelus, Rene Glitza, Rainer Martin
In this paper we introduce a realistic and challenging, multi-source and multi-room acoustic environment and an improved algorithm for the estimation of source-dominated microphone…
Estimation of Microphone Clusters in Acoustic Sensor Networks using Unsupervised Federated Learning
Alexandru Nelus, Rene Glitza, Rainer Martin
In this paper we present a privacy-aware method for estimating source-dominated microphone clusters in the context of acoustic sensor networks (ASNs). The approach is based on clus…