Optimizing the Optimal Weighted Average: Efficient Distributed Sparse
Classification
Optimizing the Optimal Weighted Average: Efficient Distributed Sparse
Classification
While distributed training is often viewed as a solution to optimizing linear models on increasingly large datasets, inter-machine communication costs of popular distributed approaches can dominate as data dimensionality increases. Recent work on non-interactive algorithms shows that approximate solutions for linear models can be obtained efficiently with only a single …