Title:
SYSTEMS, DEVICES, AND METHODS FOR MACHINE LEARNING USING A DISTRIBUTED FRAMEWORK
Document Type and Number:
WIPO Patent Application WO/2020/210362
Kind Code:
A8
Abstract:
In another aspect, a system for machine learning using a distributed framework, includes a computing device communicatively connected to a plurality of remote devices, the computing device designed and configured to select at least a remote device of a plurality of remote devices, determine a confidence level of the at least a remote device, and assign at least a machine-learning task to the at least a remote device, wherein assigning further comprises assigning at least a secure data storage task to the at least a remote device and assigning at least a model-generation task to the at least a remote device.
Inventors:
WENTZ CHRISTIAN (US)
Application Number:
PCT/US2020/027276
Publication Date:
May 06, 2021
Filing Date:
April 08, 2020
Export Citation:
Assignee:
ARES TECH INC (US)
International Classes:
G06N99/00; H04L9/32; H04L29/06
Attorney, Agent or Firm:
DRAYTON, Micah (US)
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