Daniel Peterson

Title: The Innovations of Daniel Peterson

Introduction

Daniel Peterson is an accomplished inventor based in Broomfield, Colorado. He has made significant contributions to the field of machine learning and privacy through his innovative patents. With a total of 3 patents, Peterson continues to push the boundaries of technology and privacy.

Latest Patents

One of his latest patents is titled "Subject Level Privacy Attack Analysis for Federated Learning." This invention allows for the analysis of inference attacks to determine the presence of a subject's data in a training set of a federated machine learning model. The process involves receiving a request to select an analysis of one or more inference attacks, which are then performed to assess the data's presence. Success measurements are generated based on the performance of these attacks.

Another notable patent is "Privacy Preserving Collaborative Learning with Domain Adaptation." This patent introduces techniques for domain adaptation of a machine learning model while imposing differential privacy onto federated learning. In this process, client devices receive coefficients of a general machine learning model from a server. Each device trains a private model based on new data points, calculates gradients, and adds random noise to generate noisy gradients. These gradients are sent back to the server, which adjusts the general model accordingly.

Career Highlights

Daniel Peterson is currently employed at Oracle International Corporation, where he applies his expertise in machine learning and privacy. His work at Oracle has allowed him to collaborate with other talented professionals in the field.

Collaborations

Some of his notable coworkers include Pallika Haridas Kanani and Virendra J Marathe. Their collaborative efforts contribute to the innovative environment at Oracle.

Conclusion

Daniel Peterson's contributions to machine learning and privacy through his patents demonstrate his commitment to advancing technology. His work continues to influence the field and pave the way for future innovations.