Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Morpheo: Traceable Machine Learning on Hidden data   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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The categories of this paper are: astro-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: cmp-lg
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The categories of this paper are: cond-mat
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The categories of this paper are: econ
13
The categories of this paper are: quant-ph
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The categories of this paper are: adap-org
2
The categories of this paper are: math
5
The categories of this paper are: gr-qc
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The categories of this paper are: atom-ph
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The categories of this paper are: funct-an
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The categories of this paper are: hep-lat
34
The categories of this paper are: chem-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: eess
3
The categories of this paper are: physics