This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Toyota Jidosha Kabushiki Kaisha, Toyota Motor Engineering & Manufacturing North America, 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:
1 out of 39,010 
1 out of 4,378 Years Active: 2026
Title: Hao Gao and Communication-Efficient Federated Learning for Connected Vehicles.
Introduction
Hao Gao is an inventor based in Mountain View, California. His patent work addresses communication-efficient model aggregation in federated networks for connected vehicle applications.
Latest Patents
Gao is associated with 1 patent: “Systems and Methods for Communication-Efficient Model Aggregation in Federated Networks for Connected Vehicle Applications.” The invention describes a server that obtains contributions from vehicles participating in federated learning, assigns weights to their local gradients, and adjusts those weights by comparing potential functions. The server then aggregates the adjusted gradients to produce a global model.
Career Highlights
Gao’s listed company affiliations include Toyota Motor Engineering & Manufacturing North America, Inc. and Toyota Jidosha Kabushiki Kaisha. His patent reflects work on applying federated learning to connected vehicle systems while accounting for communication efficiency.
Collaborations
Gao’s listed coworker is Emrah Akin Sisbot.
Conclusion
Hao Gao’s patent focuses on efficient aggregation of vehicle-generated learning contributions, connecting federated machine learning with connected vehicle applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile