This inventor holds 1 USPTO granted patent. Top assignee: Google Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Walid Krichene: Innovator in Machine Learning Privacy
Introduction
Walid Krichene is a prominent inventor based in Fremont, California. He has made significant contributions to the field of machine learning, particularly in enhancing privacy during the training and deployment of models. His innovative approach combines client-side and server-side data to create more secure and efficient systems.
Latest Patents
Krichene holds a patent titled "Privacy-enhanced training and deployment of machine learning models using client-side and server-side data." This patent describes computer-implemented systems and methods for training a decentralized model aimed at making personalized recommendations. The method involves obtaining user activity data to create client-side training data, training a decentralized model through multiple rounds, and updating the model based on client-side and server-side embeddings. This innovative approach ensures that sensitive data remains secure while still allowing for effective model training.
Career Highlights
Walid Krichene is currently employed at Google Inc., where he continues to work on cutting-edge technologies in machine learning. His expertise in privacy-enhanced systems has positioned him as a valuable asset in the tech industry. His work not only contributes to advancements in machine learning but also addresses critical concerns regarding data privacy.
Collaborations
Due to space constraints, the collaborations section has been omitted.
Conclusion
Walid Krichene's contributions to machine learning and data privacy are noteworthy and impactful. His innovative patent reflects a commitment to enhancing user privacy while advancing technology. His work at Google Inc. continues to shape the future of machine learning applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
