64 citations · 64 across the 2 of their papers we have counts for
3 papers
Roadmap for Edge AI: A Dagstuhl Perspective
Aaron Yi Ding, Ella Peltonen, Tobias Meuser +16
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred…
Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System
Stephanie Holly, Thomas Hiessl, Safoura Rezapour Lakani +3
Federated Learning (FL) decouples model training from the need for direct access to the data and allows organizations to collaborate with industry partners to reach a satisfying le…
Industrial Federated Learning -- Requirements and System Design
Thomas Hiessl, Daniel Schall, Jana Kemnitz +1
Federated Learning (FL) is a very promising approach for improving decentralized Machine Learning (ML) models by exchanging knowledge between participating clients without revealin…