Tiffany Tuor

Title: Innovations of Tiffany Tuor

Introduction

Tiffany Tuor is a prominent inventor based in London, GB. She has made significant contributions to the field of machine learning, holding a total of three patents. Her work focuses on advancing the capabilities of distributed machine learning and federated learning techniques.

Latest Patents

One of her latest patents is titled "Distributed machine learning at edge nodes." This invention describes a training process for a machine learning model executed at edge nodes, utilizing local datasets and global model parameters. The process involves estimating resource parameters available at the edge node and sending model parameters to a synchronization node for updates. Another notable patent is "Adaptive asynchronous federated learning." This patent outlines techniques for adaptive learning, including the aggregation of gradients from clients to update global parameters based on local datasets.

Career Highlights

Tiffany Tuor is currently employed at International Business Machines Corporation, commonly known as IBM. Her role at IBM allows her to work on cutting-edge technologies and contribute to innovative solutions in the field of artificial intelligence and machine learning.

Collaborations

Throughout her career, Tiffany has collaborated with notable colleagues such as Shiqiang Wang and Changchang Liu. These collaborations have further enhanced her research and development efforts in machine learning.

Conclusion

Tiffany Tuor is a trailblazer in the field of machine learning, with her innovative patents paving the way for advancements in technology. Her contributions at IBM and collaborations with esteemed colleagues highlight her impact on the industry.