Yordan Boev

Title: Innovator Yordan Boev: Advancing Private Decision Tree Evaluation

Introduction

Yordan Boev, a prominent inventor based in Karlsruhe, Germany, has made significant contributions to the field of machine learning through his innovative patents. With a total of three patents to his name, Boev focuses on enhancing the efficiency and privacy of machine learning model evaluations.

Latest Patents

Boev’s latest inventions include two notable patents that aim to improve the process of private decision tree evaluation. The first patent, titled "Non-interactive private decision tree evaluation," introduces a non-interactive protocol that allows clients to delegate the evaluation of decision trees to a server. This is achieved by sending encrypted inputs and only receiving the encrypted results. The approach emphasizes efficient data representation and algorithmic optimization to minimize computational overhead and communication costs.

The second patent, "Private decision tree evaluation using an arithmetic circuit," also focuses on non-interactive evaluation. In this invention, the client sends vectorized integer representations of the inputs, which the server evaluates using a homomorphic arithmetic circuit. This method reduces the number of multiplications required compared to traditional Boolean comparison circuits. Both patents demonstrate Boev's commitment to innovating in the realm of private machine learning.

Career Highlights

Yordan Boev is currently associated with SAP SE, a leading multinational software company renowned for its enterprise-level software solutions. His role at SAP SE allows him to apply his inventive ideas in a practical setting, driving forward the company's initiatives in machine learning and data privacy.

Collaborations

Throughout his career, Boev has collaborated with notable colleagues, including Anselme Kemgne Tueno and Florian Kerschbaum. These collaborations highlight the importance of teamwork and shared expertise in driving innovation within the technology sector.

Conclusion

Yordan Boev stands out as an influential figure in the machine learning domain, demonstrating a strong commitment to enhancing decision-making processes through privacy-preserving technologies. His innovative patents reflect a deep understanding of both practical challenges and advanced computational techniques. As the field of machine learning continues to evolve, inventors like Boev remain critical to developing solutions that address the ever-growing need for data privacy and security.