Morpheo: Traceable Machine Learning on Hidden data
It addresses privacy and traceability issues for users handling sensitive data in machine learning, but appears incremental as it combines existing concepts like blockchain and transfer learning.
Morpheo is a transparent and secure machine learning platform that tackles the problem of building state-of-the-art prediction models on sensitive data by ensuring strong privacy and traceability through blockchain, aiming to create an economic ecosystem around data prediction.
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.