Invention Grant
- Patent Title: Learning model selection in a distributed network
- Patent Title (中): 在分布式网络中学习模型选择
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Application No.: US14164443Application Date: 2014-01-27
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Publication No.: US09413779B2Publication Date: 2016-08-09
- Inventor: Jean-Philippe Vasseur , Andrea Di Pietro , Javier Cruz Mota
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Parker Ibrahim & Berg LLC
- Agent James M. Behmke; Stephen D. LeBarron
- Main IPC: G06N3/08
- IPC: G06N3/08 ; H04L29/06 ; G06N99/00 ; H04L12/26 ; G06N3/02 ; H04L12/24 ; H04L12/801 ; H04L12/855 ; H04L12/891 ; H04L12/753

Abstract:
In one embodiment, local model parameters are generated by training a machine learning model at a device in a computer network using a local data set. One or more other devices in the network are identified that have trained machine learning models using remote data sets that are similar to the local data set. The local model parameters are provided to the one or more other devices to cause the one or more other devices to generate performance metrics using the provided model parameters. Performance metrics for model parameters are received from the one or more other devices and a global set of model parameters is selected for the device and the one or more other devices using the received performance metrics.
Public/Granted literature
- US20150193693A1 LEARNING MODEL SELECTION IN A DISTRIBUTED NETWORK Public/Granted day:2015-07-09
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