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From "Edward J. Yoon" <edwardy...@apache.org>
Subject [DISCUSS] Parallelization of Stochastic Gradient Descent
Date Wed, 23 Sep 2015 02:17:05 GMT
Hi forks,

Instead of row or column-wise partitioning strategy for parallel SGD,
I'm thinking about using of Pregel-style BSP model that makes it
possible to partition and process billion-vertex graphs in efficient

But I'm really not sure whether it's fit for every-types of neural
network topologies. Can we think about this together?

Best Regards, Edward J. Yoon

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