Erlangen, Germany

Christopher Syben-leisner

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Fraunhofer-Gesellschaft Zur Förderung Der Angewandten Forschung E.v.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Christopher Syben-leisner. Retrieved from https://idiyas.com/inventor/christopher-syben-leisner

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Christopher Syben-Leisner: Inventor of an Interface Component for Distributed Machine Learning Systems.

Introduction

Christopher Syben-Leisner is an inventor associated with Erlangen, Germany. His patent work concerns the configuration and feedback mechanisms used by distributed machine learning systems.

Latest Patents

Syben-Leisner is named on 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, then uses those parameters to change the unit’s configuration. It also determines feedback data and transfers it to a predecessor interface component.

Career Highlights

Syben-Leisner is associated with Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., a research organization focused on applied science and technology. His patent reflects work on coordinating components and exchanging feedback within distributed machine learning systems.

Collaborations

Andreas Maier is identified as Syben-Leisner’s coworker. The available information does not specify their particular projects or collaboration.

Conclusion

Christopher Syben-Leisner’s recorded patent contribution addresses how distributed machine learning components can adjust their configurations and communicate feedback, highlighting a practical aspect of system coordination.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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