Company Filing History:
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5 out of 1,589 
Years Active: 2025
Title: Innovations of Ming-Ching Chang
Introduction
Ming-Ching Chang is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of technology, particularly in the areas of federated learning and image verification. With a total of five patents to his name, his work reflects a commitment to advancing innovative solutions.
Latest Patents
One of his latest patents is a "Federated learning method using synonym." This 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 hash values, and generates an image tag pair. An editor terminal device receives this tag pair, edits part of the smaller images, and generates an edited integral image. Finally, a user terminal device verifies whether the edited image was generated from the source image using a zero-knowledge proof assurance.
Career Highlights
Ming-Ching Chang has worked with prominent companies such as Inventec Technology Corporation and Inventec Corp. His experience in these organizations has allowed him to develop and refine his innovative ideas.
Collaborations
Throughout his career, he has collaborated with talented individuals, including Chih-Fan Hsu and Wei-Chao Chen. These partnerships have contributed to the success of his projects and patents.
Conclusion
Ming-Ching Chang's work exemplifies the spirit of innovation in technology. His patents in federated learning and image verification demonstrate his ability to address complex challenges in the digital landscape. His contributions continue to influence the field and inspire future advancements.