Introduction: Pritish Kamath is an inventor based in Mountain View, CA (US). He is currently employed at Google Inc. and has made significant contributions to the field of digital resource access estimation. Although he does not hold any granted patents, his work in developing innovative methods and systems is noteworthy.

Latest Patent Applications: Pritish Kamath has filed several patent applications that focus on enhancing privacy and efficiency in digital resource access. One of his latest applications is titled "Privacy Sensitive Estimation of Digital Resource Access Frequency." This application outlines methods, systems, and apparatus for generating estimates of user access to digital resources within a specified time frame. The method involves obtaining access data, generating a tree model, and selecting private access values to estimate user interactions.

Another significant application is "Learning with Label Differential Privacy via Projections." This application describes a projection-based stochastic gradient descent technique that maintains label differential privacy while training machine learning models. The technique aims to improve the performance of these models in higher-privacy environments, such as digital content management.

Conclusion: Pritish Kamath is an innovative inventor whose work at Google Inc. focuses on privacy-sensitive methods for estimating digital resource access. His latest patent applications reflect his commitment to advancing technology while prioritizing user privacy.

Profile summary based on public USPTO records.