Company Filing History:
Years Active: 2022
Title: Innovations of Shuihai Hu in Federated Learning and Decryption Systems
Introduction
Shuihai Hu is a notable inventor based in Guangdong, China. He has made significant contributions to the fields of federated learning and cryptography. With a total of two patents to his name, his work showcases innovative approaches to complex computational problems.
Latest Patents
Shuihai Hu's latest patents include a "Processing device, accelerator, and method for federated learning." This invention features a processing device designed for federated learning, which incorporates several modules such as a modular exponentiation module, a pre-processing module, a montgomerization module, a confusion calculation module, and a montgomery reduction module. These components work together to perform operations based on various input operator modes, enhancing the efficiency of federated learning processes.
Another significant patent is the "Paillier decryption system, IC and method." This invention includes a modular exponentiation module that performs operations related to a Paillier decryption process. The process divides encrypted data into two subitems according to the Chinese remainder theorem, allowing for efficient decryption using a public key derived from two prime numbers.
Career Highlights
Shuihai Hu is currently employed at Clustar Technology Co., Ltd., where he continues to develop innovative technologies. His work focuses on enhancing computational methods and improving data security through advanced cryptographic techniques.
Collaborations
Shuihai Hu collaborates with talented individuals such as Long Zhang and Wei Wang. Their combined expertise contributes to the advancement of technology in their respective fields.
Conclusion
Shuihai Hu's contributions to federated learning and decryption systems highlight his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of complex computational challenges and offer solutions that can significantly impact the industry.