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Found 7 papers, 3 papers with code
Consensus Based Multi-Layer Perceptrons for Edge Computing
Assuming nodes (devices) in the distributed system are arranged in a graph and contain vertically partitioned data, the goal is to learn a global function that minimizes the loss.
Impact of Community Structure on Consensus Machine Learning
Here, we analyze the effect on $\tau_\epsilon$ of network community structure, which can arise when compute nodes/sensors are spatially clustered, for example.
GADGET SVM: A Gossip-bAseD sub-GradiEnT Solver for Linear SVMs
SVMs are extensively used for solving classification problems.
A Machine Learning Approach to Quantitative Prosopography
Prosopography is an investigation of the common characteristics of a group of people in history, by a collective study of their lives.
Demo Abstract: NILMTK v0.2: A Non-intrusive Load Monitoring Toolkit for Large Scale Data Sets
In this demonstration, we present an open source toolkit for evaluating non-intrusive load monitoring research; a field which aims to disaggregate a household's total electricity consumption into individual appliances.
Other Computer Science
Consensus-Based Modelling using Distributed Feature Construction
That is, there is a network of computational units, each of which employs an ILP engine to construct some small number of features and then builds a (local) model.
NILMTK: An Open Source Toolkit for Non-intrusive Load Monitoring
We demonstrate the range of reproducible analyses which are made possible by our toolkit, including the analysis of six publicly available data sets and the evaluation of both benchmark disaggregation algorithms across such data sets.
Applications
