US 12,001,514 B2
Image classification modeling while maintaining data privacy compliance
Ji Li, San Jose, CA (US); Youjun Liu, Palo Alto, CA (US); and Amit Srivastava, San Jose, CA (US)
Assigned to MICROSOFT TECHNOLOGY LICENSING, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on Oct. 18, 2022, as Appl. No. 18/047,324.
Application 18/047,324 is a continuation of application No. 16/276,908, filed on Feb. 15, 2019, granted, now 11,507,677.
Prior Publication US 2023/0066050 A1, Mar. 2, 2023
Int. Cl. G06F 18/21 (2023.01); G06F 18/25 (2023.01); G06F 21/62 (2013.01); G06N 20/00 (2019.01)
CPC G06F 18/217 (2023.01) [G06F 18/254 (2023.01); G06F 21/6218 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
executing online training of an image recognition classifier based on a plurality of image content that is accessed through a cloud-based service, wherein the executing the online training comprises:
determining that data privacy compliance requirements are satisfied for usage of a first image content of the plurality of image content during a first time period during the online training and not satisfied for usage of the first image content during a second time period during the online training, and
using the first image content for the online training during the first time period and not during the second time period;
tuning the image recognition classifier based at least in part on results of the online training of the image recognition classifier; and
exposing the tuned image recognition classifier for image classification processing during execution of the cloud-based service.