Company Filing History:
7 out of 649 
7 out of 1,589 
Years Active: 2024-2025
Title: Innovations of Chih-Fan Hsu
Introduction
Chih-Fan Hsu is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of technology, holding a total of six patents. His work primarily focuses on advanced methods in federated learning and image verification.
Latest Patents
One of his latest patents is a "Federated learning method using synonym." This innovative method involves sending a general model to every client device by a moderator. Each client device performs a training procedure that includes encoding private data into a digest and training a client model based on this data. The moderator determines any absent client devices and generates a synonym of the digest for those devices, allowing for the training of a replacement model. This process culminates in an aggregation to update the general model.
Another significant patent is the "System for verifying edited image." This system includes a producer terminal device that tiles a source image into smaller images, calculates an integrated source image hash value, and digitally signs to generate an image tag pair. An editor terminal device receives this tag pair, edits part of the smaller images, and generates an edited integral image while calculating an integrated edit image hash value. Finally, a user terminal device verifies whether the edited image was generated from the source image using a zero-knowledge proof assurance.
Career Highlights
Chih-Fan Hsu has worked with prominent companies such as Inventec Technology Corporation and Inventec Corp. His experience in these organizations has contributed to his expertise in developing innovative technologies.
Collaborations
He has collaborated with notable coworkers, including Wei-Chao Chen and Ming-Ching Chang, who have also contributed to advancements in technology.
Conclusion
Chih-Fan Hsu's innovative patents and career achievements highlight his significant role in the field of technology. His work continues to influence advancements in federated learning and image verification.