San Francisco, CA, United States of America

Heiko Hary Ludwig

USPTO Granted Patents = 48 

Average Co-Inventor Count = 4.4

ph-index = 6

Forward Citations = 163(Granted Patents)


Location History:

  • San Jose, CA (US) (2011)
  • New York, NY (US) (2006 - 2017)
  • San Francisco, CA (US) (2012 - 2024)

Company Filing History:


Years Active: 2006-2025

where 'Filed Patents' based on already Granted Patents

48 patents (USPTO):

Title: Heiko Hary Ludwig: Innovator in Federated Learning Technology

Introduction

Heiko Hary Ludwig is a prominent inventor based in San Francisco, CA, known for his significant contributions to the field of machine learning and federated learning technologies. With a remarkable portfolio of 46 patents, Ludwig’s innovative work is paving the way for advanced privacy-preserving systems in artificial intelligence.

Latest Patents

Among his latest patents, Ludwig has developed a method for privacy-preserving federated learning. This technology involves distributing a plurality of public encryption keys to participants in a federated learning environment, enabling secure aggregation of responses based on locally held training data. By employing an aggregation vector, Ludwig's system retrieves private encryption keys to generate an aggregated model that maintains the integrity and confidentiality of participant data.

Additionally, he has been instrumental in creating a federated learning framework that establishes a hierarchy of machine learning models (MLMs). This innovative structure allows for the training of a primary MLM while capturing model updates across various communication channels. The framework intelligently clones and populates secondary MLMs, which limits access to data while enhancing collaborative machine learning processes.

Career Highlights

Ludwig has held significant positions at notable organizations, including International Business Machines Corporation (IBM) and Green Market Square Limited. His work at these companies has been integral in advancing technologies related to federated learning and encryption methods, which emphasize security and privacy in data handling.

Collaborations

Throughout his career, Ludwig has collaborated with accomplished professionals, including Nathalie Baracaldo Angel and Robert John Moore. These partnerships reflect his commitment to innovation and the pursuit of effective solutions in the rapidly evolving landscape of machine learning.

Conclusion

Heiko Hary Ludwig stands out as a forward-thinking inventor whose contributions to federated learning technology are reshaping the future of data security and machine learning. As he continues to innovate, his work inspires others in the field and emphasizes the importance of protecting privacy in the digital age.

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