Johannes Schneider

Title: Innovations of Johannes Schneider

Introduction

Johannes Schneider is a notable inventor based in Fislisbach, Switzerland. He has made significant contributions to the field of machine learning and encryption technologies. With a total of 7 patents, Schneider's work focuses on enhancing data security and computational efficiency.

Latest Patents

One of his latest patents is titled "Machine learning based on homomorphic encryption." This method evaluates data using a computational model that includes model data, a training function, and a prediction function. The process involves training the model with both training data and encrypted training result data, allowing for predictions based on field data while maintaining data privacy through encryption. Another significant patent is "Encryption for low-end devices through computation offloading." This application describes a method for creating a probabilistic encryption scheme that utilizes random bit strings computed in a cluster, which are then used to encrypt data items in electronic devices.

Career Highlights

Throughout his career, Johannes Schneider has worked with prominent companies such as ABB Schweiz AG and ABB Power Grids Switzerland AG. His experience in these organizations has allowed him to develop innovative solutions that address complex challenges in data security and machine learning.

Collaborations

Some of his notable coworkers include Matus Harvan and Sebastian Obermeier. Their collaboration has contributed to the advancement of technologies in their respective fields.

Conclusion

Johannes Schneider's contributions to machine learning and encryption demonstrate his commitment to innovation and technology. His patents reflect a deep understanding of data security and computational methods, making him a significant figure in the field.