Dana Pfeufer

Title: Dana Pfeufer and an Interface Component for Distributed Machine Learning Systems.

Introduction

Dana Pfeufer is an inventor associated with Erlangen, Germany, and Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Her listed patent concerns an interface component designed for distributed components of a machine learning system.

Latest Patents

Pfeufer is credited with 1 patent: “Interface Component for Distributed Components of a Machine Learning System.” The invention describes an interface component that determines configuration parameters for an associated unit based on feedback from a successor interface component. It uses those parameters to change the unit’s configuration. The component also determines feedback data and sends it to a predecessor interface component, supporting feedback exchange across a distributed system.

Career Highlights

The available information connects Pfeufer’s patent work with Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., a research organization. Her listed invention addresses configuration and feedback mechanisms in distributed machine learning systems.

Collaborations

Andreas Maier and Richard Schielein are identified as Pfeufer’s coworkers. The provided information does not specify their roles in the patent.

Conclusion

Dana Pfeufer’s listed patent focuses on coordinating configuration changes and feedback among distributed machine learning components, reflecting her connection to applied research at Fraunhofer-Gesellschaft.