Ashish Khisti

Title: Ashish Khisti: Innovator in Federated Learning Systems

Introduction

Ashish Khisti is a notable inventor based in California, recognized for his contributions to the field of artificial intelligence and federated learning. His innovative approach focuses on enhancing the security and robustness of AI model training through advanced encryption techniques.

Latest Patents

Khisti holds a patent for a "Secure and robust federated learning system and method by multi-party homomorphic encryption." This patent describes a federated learning system designed to aggregate gradient information from edge devices, ensuring secure transmission and processing of data. The system includes an edge device and a server apparatus, where the edge device generates encrypted shares of the aggregated gradient, which are then transmitted to the server for decryption and further processing.

Career Highlights

Throughout his career, Ashish Khisti has worked with prestigious organizations, including the University of Toronto and Hitachi Solutions, Ltd. His experience in these institutions has allowed him to develop and refine his expertise in AI and encryption technologies.

Collaborations

Khisti has collaborated with talented individuals such as Seyederfan Hosseini and Mitsuharu Oba, contributing to advancements in his field through teamwork and shared knowledge.

Conclusion

Ashish Khisti's work in federated learning and encryption represents a significant advancement in the field of artificial intelligence. His innovative patent and collaborative efforts highlight his commitment to enhancing the security of AI systems.