Distributed Matrix Factorization

Distributed Stochastic Gradient Descent (SGD)

Parallel variant of stochastic gradient descent where the update of factorization parameters is performed asynchronously or synchronously across multiple data partitions, requiring consistency management mechanisms to converge properly in a distributed context.

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