Morpheo: Traceable Machine Learning on Hidden data
Mathieu Galtier, Camille Marini

TL;DR
Morpheo is a secure, transparent machine learning platform that ensures data privacy, traceability through blockchain, and supports transfer learning across multiple sensitive data sources.
Contribution
It introduces a blockchain-based infrastructure for privacy-preserving, traceable machine learning on sensitive data with an economic ecosystem for data and algorithm providers.
Findings
Ensures data privacy by preventing data reading except for owners and algorithms.
Provides total traceability of computations via blockchain.
Supports transfer learning from multiple data sources.
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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Taxonomy
TopicsBlockchain Technology Applications and Security · Privacy-Preserving Technologies in Data · COVID-19 diagnosis using AI
