Morpheo: Traceable Machine Learning on Hidden data

April 17, 2017 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Mathieu Galtier, Camille Marini arXiv ID 1704.05017 Category cs.AI: Artificial Intelligence Cross-listed cs.CR, cs.DC, stat.ML Citations 2 Venue arXiv.org Last Checked 4 months ago
Abstract
Morpheo is a transparent and secure machine learning platform collecting and analysing large datasets. It aims at building state-of-the art prediction models in various fields where data are sensitive. Indeed, it offers strong privacy of data and algorithm, by preventing anyone to read the data, apart from the owner and the chosen algorithms. Computations in Morpheo are orchestrated by a blockchain infrastructure, thus offering total traceability of operations. Morpheo aims at building an attractive economic ecosystem around data prediction by channelling crypto-money from prediction requests to useful data and algorithms providers. Morpheo is designed to handle multiple data sources in a transfer learning approach in order to mutualize knowledge acquired from large datasets for applications with smaller but similar datasets.
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