Lokesh Nagalapatti

Title: Innovations by Lokesh Nagalapatti

Introduction

Lokesh Nagalapatti is a prominent inventor based in Chennai, India. He has made significant contributions to the field of technology, particularly in machine learning and data analysis. With a total of three patents to his name, Lokesh is recognized for his innovative approaches to complex problems in federated learning environments.

Latest Patents

One of Lokesh's latest patents focuses on automatically detecting outliers in federated data. This invention provides methods, systems, and computer program products for identifying outliers within a federated learning environment. The computer-implemented method involves obtaining local outlier-related data from multiple client systems, detecting federated learning environment-level outliers, and determining calibration parameters for effective detection.

Another notable patent involves generating task-specific training data. This technique discloses methods for creating synthetic data instances that correspond to downstream tasks. The process includes generating synthetic data for training machine learning models and determining their values concerning specific tasks. This innovation enhances the efficiency and effectiveness of machine learning applications.

Career Highlights

Lokesh Nagalapatti is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM allows him to collaborate with leading experts in the field and contribute to cutting-edge technological advancements.

Collaborations

Some of Lokesh's notable coworkers include Ruhi Sharma Mittal and Sambaran Bandyopadhyay. Their collaborative efforts contribute to the innovative projects at IBM, fostering a dynamic environment for research and development.

Conclusion

Lokesh Nagalapatti's contributions to technology through his patents demonstrate his expertise and commitment to innovation. His work in federated learning and machine learning training data generation positions him as a key figure in the advancement of these fields.