This inventor holds 1 USPTO granted patent. Top assignee: Huawei Cloud Computing Technologies Co., Ltd.. Active years: 2024.
Company Filing History:
Years Active: 2024
Title: Innovations of Amin Banitalebi in Data Sharing Systems
Introduction
Amin Banitalebi is an innovative inventor based in Vancouver, Canada. He has made significant contributions to the field of data-sharing systems, focusing on enhancing the efficiency and fairness of data allocation. His work is particularly relevant in today's data-driven world, where the need for effective data sharing is paramount.
Latest Patents
Amin Banitalebi holds a patent for a data-sharing system that utilizes multi-angle incentive allocation. This system is designed for sharing datasets between data providers and data consumers while facilitating the transfer of incentives in response to data-sharing activities. The patent outlines a multi-angle alliance guided data valuation module that ensures fair allocation of incentives among data consumers. Additionally, it features a flexible-scenario routed dataset comparison module that evaluates data provided by data providers through various evaluating routes. The system enhances the use of computer cloud technology and supports the growth of artificial intelligence (AI) supermodels for sustainable data sharing. Furthermore, it employs a coreset-based Shapley valuation method for efficient data valuation.
Career Highlights
Amin Banitalebi is currently associated with Huawei Cloud Computing Technologies Co., Ltd., where he continues to develop innovative solutions in the realm of data sharing. His expertise and dedication to advancing technology have positioned him as a notable figure in his field.
Collaborations
Amin has collaborated with talented individuals such as Chendi Wang and Yong Zhang, contributing to the development of cutting-edge technologies in data sharing.
Conclusion
Amin Banitalebi's work in data-sharing systems exemplifies the importance of innovation in technology. His contributions are paving the way for more efficient and fair data-sharing practices, which are essential in the modern digital landscape.