Log in
Enquire now
‌

US Patent 11003992 Distributed training and prediction using elastic resources

Patent 11003992 was granted and assigned to Facebook on May, 2021 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
Current Assignee
Facebook
Facebook
Date Filed
October 16, 2017
Date of Patent
May 11, 2021
Patent Applicant
Facebook
Facebook
Patent Application Number
15785074
Patent Citations
‌
US Patent 10152676 Distributed training of models using stochastic gradient descent
Patent Citations Received
‌
US Patent 12001961 Embedding constrained and unconstrained optimization programs as neural network layers
0
‌
US Patent 11580455 Facilitating machine learning configuration
‌
US Patent 11960935 Fault-tolerant accelerator based inference service
0
‌
US Patent 11989667 Interpretation of machine leaning results using feature analysis
0
‌
US Patent 11494621 Attached accelerator selection and placement
‌
US Patent 11599821 Attached accelerator based inference service
‌
US Patent 11636334 Machine learning with feature obfuscation
0
‌
US Patent 11755884 Distributed machine learning with privacy protection
‌
US Patent 11392796 Feature dictionary for bandwidth enhancement
‌
US Patent 11422863 Attached accelerator scaling
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11003992
Patent Primary Examiner
‌
Kate H Luo

Find more entities like US Patent 11003992 Distributed training and prediction using elastic resources

Use the Golden Query Tool to find similar entities by any field in the Knowledge Graph, including industry, location, and more.
Open Query Tool
Access by API
Golden Query Tool
Golden logo
By using this site, you agree to our Terms of Service.