This inventor holds 2 USPTO granted patents. Top assignees: Jingdong Technology Holding Co., Ltd., Jingdong Technology Holding Co., Ltd.. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Ziying Dai: Innovator in Multi-Source Data Processing
Introduction
Ziying Dai is a prominent inventor based in Beijing, China. He has made significant contributions to the field of data processing, particularly in the area of multi-source data. His innovative approach has led to the development of a unique method that enhances the efficiency of data handling in various applications.
Latest Patents
Ziying Dai holds a patent for a method for processing multi-source data. This method involves generating a private key fragment of the data providing node, along with an encryption public key and an evaluation public key. The process includes encrypting local sample data to create ciphertext data, which is then sent to a coordination node for training a machine learning model. The model parameters are subsequently decrypted and sent to the data using node, showcasing a sophisticated approach to data security and machine learning integration. He has 1 patent to his name.
Career Highlights
Ziying Dai is currently employed at Jingdong Technology Holding Co., Ltd., a leading technology company in China. His work focuses on advancing data processing techniques that are crucial for modern technological applications. His expertise in this field has positioned him as a valuable asset to his organization.
Collaborations
Ziying collaborates with Tiecheng Wang, a talented woman in the same field. Their partnership exemplifies the importance of teamwork in driving innovation and achieving technological advancements.
Conclusion
Ziying Dai's contributions to the field of multi-source data processing highlight his innovative spirit and dedication to advancing technology. His work not only enhances data security but also improves the efficiency of machine learning applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile