Rasmus Pagh

Title: Innovations by Rasmus Pagh

Introduction

Rasmus Pagh is a notable inventor based in Berkeley, California. He has made significant contributions to the field of data privacy and aggregation through his innovative patents. With a total of three patents to his name, Pagh is recognized for his work in developing methods that enhance privacy in data processing.

Latest Patents

One of Rasmus Pagh's latest patents is titled "Scalable and differentially private distributed aggregation." This invention involves an encoding process performed by a computing device, which includes obtaining private data that contains a private value. The device produces multiple messages that approximate the private value, with at least one message being randomly selected. These messages are then aggregated with additional messages generated for other private values. Another significant patent is "Pure differentially private algorithms for summation in the shuffled model." This patent describes an encoding method for privacy-preserving aggregation of private data, which includes producing a multiset of values based on a probabilistic status. The method ensures that the aggregation process maintains privacy while allowing for effective data analysis.

Career Highlights

Rasmus Pagh is currently employed at Google Inc., where he continues to work on innovative solutions in data privacy. His expertise in the field has positioned him as a key contributor to advancements in privacy-preserving technologies.

Collaborations

Throughout his career, Pagh has collaborated with talented individuals such as Badih Ghazi and Ameya Avinash Velingker. These collaborations have further enriched his work and contributed to the development of cutting-edge technologies.

Conclusion

Rasmus Pagh's contributions to the field of data privacy through his innovative patents highlight his role as a leading inventor. His work at Google Inc. and collaborations with other experts underscore the importance of privacy in today's data-driven world.