Jilian Zhang

Title: Jilian Zhang: Innovator in Privacy-Preserving Deep Learning

Introduction

Jilian Zhang is a prominent inventor based in Guangdong, China. He has made significant contributions to the field of deep learning, particularly in the area of privacy protection through innovative methods.

Latest Patents

Jilian Zhang holds a patent for an "Auditable privacy protection deep learning platform construction method based on blockchain incentive mechanism." This invention discloses a method for constructing an auditable and privacy-preserving collaborative deep learning platform. The platform utilizes a blockchain-empowered incentive mechanism, allowing multiple trainers of similar models to cooperate in training deep learning models while ensuring the confidentiality and auditing correctness of shared parameters. The technical effects of this invention include enhanced confidentiality through encryption methods, secure storage of encrypted parameters on the blockchain, and a blockchain-based incentive mechanism that guarantees the validity of shared parameters.

Career Highlights

Jilian Zhang is affiliated with Jinan University, where he continues to advance research in deep learning and privacy protection. His work has garnered attention for its innovative approach to collaborative model training.

Collaborations

Jilian collaborates with notable colleagues, including Jian Weng and Jiasi Weng, who contribute to his research endeavors.

Conclusion

Jilian Zhang's innovative work in developing privacy-preserving methods for deep learning showcases his commitment to advancing technology while ensuring data security. His contributions are paving the way for future advancements in the field.