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For the Inventor, By the Inventor

San Jose, CA, United States of America

Yi Zhou

This inventor holds 26 USPTO granted patents and 34 published patent applications, primarily in Federated Learning. Top assignees: International Business Machines Corporation, Adobe, Inc., Apple Inc.. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yi Zhou. Retrieved from https://idiyas.com/inventor/yi-zhou-2sfrnku9

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 26 

% Patents Active = 84.6

Average Co-Inventor Count = 4.5

ph-index = 1

Forward Citations = 6(Granted Patents)


Location History:

  • Los Angeles, CA (US) (2021)
  • Sunnyvale, CA (US) (2023)
  • San Jose, CA (US) (2024)

Company Filing History:

goldMedal10 out of 166,351 
 
International Business Machines Corporation
 patents
silverMedal7 out of 7,289 
 
Adobe, Inc.
 patents
bronzeMedal4 out of 43,562 
 
Apple Inc.
 patents
4. 3 out of 68 
 
Quantumscape Battery, Inc.
 patents
5. 2 out of 650 
 
Rensselaer Polytechnic Institute
 patents
6. 1 out of 252 
 
Meta Platforms Technologies, LLC
 patents
7. 1 out of 56,259 
 
Microsoft Technology Licensing, LLC
 patents
where one patent can have more than one assignee

Years Active: 2021-2026

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Areas of Expertise:
Federated Learning
Privacy Enhancement
Model Training
Adversarial Attacks
3D Animation
Image Compositing
Neural Networks
Scene Representation
Ceramic Processing
Optical Lens Assembly
Quantization Matrix
Mesh Generation
26 patents (USPTO):Explore Patents
1. 12755196 - Training models under resource constraints for cross-device federated learning (2026-10-06),
2. 12682273 - Tokenized federated learning (2026-07-14),
3. 12670410 - Privacy enhanced federated training and inference over vertically and horizontally partitioned data (2026-06-30),
4. 12663619 - Wide field of view (FOV) optical lens assembly with tunable optical lens (2026-06-23),
5. 12646267 - Compositing of images from virtual and physical cameras (2026-06-02),
6. 12639886 - Content playback and modifications in a 3D environment (2026-05-26),
7. 12573136 - Scene tracks for representing media assets (2026-03-10),
8. 12536447 - Feature selection in vertical federated learning (2026-01-27),
9. 12533869 - Processing apparatuses and methods of using (2026-01-27),
10. 12524944 - Generating three-dimensional looping animations from still images (2026-01-13),
11. 12524527 - Byzantine-resilient bilevel federated learning (2026-01-13),
12. 12499574 - Generating three-dimensional human models representing two-dimensional humans in two-dimensional images (2025-12-16),
13. 12394166 - Modifying poses of two-dimensional humans in two-dimensional images by reposing three-dimensional human models representing the two-dimensional humans (2025-08-19),
14. 12314332 - Search summary generation based on searcher characteristics (2025-05-27),
15. 12248617 - Defending against adversarial attacks in federated learning (2025-03-11),

Title: Inventor Yi Zhou

Introduction: Yi Zhou is a prolific inventor based in San Jose, CA, known for his groundbreaking contributions to various technological fields.

Latest Patents: Yi Zhou holds several patents in the areas of artificial intelligence, robotics, and renewable energy technologies.

Career Highlights: With a career spanning over two decades, Yi Zhou has worked with leading tech companies, research institutions, and universities to develop cutting-edge innovations.

Collaborations: Yi Zhou has collaborated with top engineers, scientists, and researchers globally, fostering a culture of innovation and excellence in his projects.

Conclusion: Yi Zhou's passion for innovation and his dedication to pushing the boundaries of technology make him a prominent figure in the world of inventions.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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