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Distributed Low-rank Matrix Factorization With Exact Consensus
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| run DGD+LOCAL (local copies of shared factor, purely local blocks of the other factor) on distributed low-rank matrix approximation | distributed gradient descent · distributed low-rank matrix approximation (Figure 1) | objective value and consensus error | Helped |
| apply plain DGD with fixed stepsize to a least squares problem without the matrix factorization structure | DGD · least squares (Figure 1 right) | optimality and consensus | Hurt |
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