Could an artificial neural network algorithm be expressed in terms of map-reduce operations? I am also interested more generally in methods of parallelization as applied to ANNs and their application to cloud computing.

I would think one approach would involve running a full ANN on each node and somehow integrating the results in order to treat the grid like a single entity (in terms of input/output and machine learning characteristics.) I would be curious even in this case what such an integrating strategy might look like.


Yes it can, and has been. In the paper Map-Reduce for Machine Learning on Multicore they discuss using the Map-Reduce paradigm for several common ML algorithms including ANNs.

  • $\begingroup$ Thanks! +1 and accepted -- this paper is a great resource. $\endgroup$ – Joseph Weissman Jun 28 '12 at 0:44
  • $\begingroup$ The link now 404s :( $\endgroup$ – Joseph Weissman Aug 27 '15 at 0:27
  • $\begingroup$ @JosephWeissman link should work now. $\endgroup$ – alto Aug 31 '15 at 17:52

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