Distributed approach for feature modeling using principal component analysis

摘要

In one embodiment, techniques are shown and described relating to a distributed approach for feature modeling on an LLN using principal component analysis. In one specific embodiment, a computer network has a plurality of nodes and a router. The router is configured to select one or more nodes of the plurality of nodes that will collaborate with the router for collectively computing a model of respective features for input to a Principal Component Analysis (PCA) model. In addition, the selected one or more nodes and the router are configured to perform a distributed computation of a PCA model between the router and the selected one or more nodes.

主权项

1. A system, comprising:
a plurality of nodes in a computer network; and a router in the computer network, the router configured to select one or more nodes of the plurality of nodes that will collaborate with the router for collectively computing a model of respective features for a Principal Component Analysis (PCA) model, wherein the selected one or more nodes and the router are configured to perform a distributed computation of a PCA model between the router and the selected one or more nodes, and wherein the router is configured to generate a list of candidate nodes for the selected one or more nodes, the list containing nodes of the plurality of nodes whose features are to be modeled.