- Patent Title: Designating a voting classifier using distributed learning machines
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Application No.: US14273108Application Date: 2014-05-08
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Publication No.: US10454785B2Publication Date: 2019-10-22
- Inventor: Javier Cruz Mota , Jean-Philippe Vasseur , Andrea Di Pietro
- 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: Behmke Innovation Group LLC
- Agent James Behmke; Stephen D. LeBarron
- Main IPC: H04L12/24
- IPC: H04L12/24 ; G06Q10/10 ; G07C13/00 ; H04L12/16 ; H04L12/26 ; H04L29/06 ; H04L12/18 ; H04K3/00 ; H04W12/12 ; H04L29/08

Abstract:
In one embodiment, possible voting nodes in a network are identified. The possible voting nodes each execute a classifier that is configured to select a label from among a plurality of labels based on a set of input features. A set of one or more eligible voting nodes is selected from among the possible voting nodes based on a network policy. Voting requests are then provided to the one or more eligible voting nodes that cause the one or more eligible voting nodes to select labels from among the plurality of labels. Votes are received from the eligible voting nodes that include the selected labels and are used to determine a voting result.
Public/Granted literature
- US20150326609A1 DESIGNATING A VOTING CLASSIFIER USING DISTRIBUTED LEARNING MACHINES Public/Granted day:2015-11-12
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