miscellaneous-12
Distributed Optimization
3260 papers • 126 benchmarks • 313 datasets
The goal of Distributed Optimization is to optimize a certain objective defined over millions of billions of data that is distributed over many machines by utilizing the computational power of these machines. Source: Analysis of Distributed StochasticDual Coordinate Ascent
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