English

Morpheo: Traceable Machine Learning on Hidden data

Artificial Intelligence 2017-04-18 v1 Cryptography and Security Distributed, Parallel, and Cluster Computing Machine Learning

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.

Keywords

Cite

@article{arxiv.1704.05017,
  title  = {Morpheo: Traceable Machine Learning on Hidden data},
  author = {Mathieu Galtier and Camille Marini},
  journal= {arXiv preprint arXiv:1704.05017},
  year   = {2017}
}

Comments

whitepaper, 9 pages, 6 figures

R2 v1 2026-06-22T19:19:13.438Z