Shanshan Wu

Title: Shanshan Wu: Innovator in Federated Learning

Introduction

Shanshan Wu is a prominent inventor based in Seattle, WA (US). She has made significant contributions to the field of machine learning, particularly in the area of federated learning. Her innovative work has led to the development of a unique patent that addresses key challenges in this rapidly evolving domain.

Latest Patents

Shanshan Wu holds a patent titled "Partially local federated learning." This patent encompasses methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a machine learning model. The model features a set of local model parameters and a set of global model parameters under a partially local federated learning framework. One of the methods described in the patent includes maintaining local data and data defining the local model parameters. It also involves receiving data that defines current values of the global model parameters and determining, based on the local data and current values, the local model parameters. Furthermore, the patent outlines how to generate parameter update data and transmit it effectively.

Career Highlights

Shanshan Wu is currently employed at Google Inc., where she continues to push the boundaries of innovation in machine learning. Her work at Google has allowed her to collaborate with some of the brightest minds in the industry, contributing to groundbreaking advancements in technology.

Collaborations

Some of her notable coworkers include Karan Singhal and Hakim Sidahmed, Jr. Their collaborative efforts have further enhanced the impact of her work in the field.

Conclusion

Shanshan Wu's contributions to federated learning exemplify her innovative spirit and dedication to advancing technology. Her patent and work at Google Inc. highlight her role as a leading inventor in the machine learning landscape.