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Distributed Optimization

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

Papers

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Showing 251–260 of 536 papers

TitleStatusHype
Distributed Unmixing of Hyperspectral Data With Sparsity Constraint—0
Distributed Utility Optimization in Vehicular Communication Systems—0
Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus—0
DOPE: Distributed Optimization for Pairwise Energies—0
CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity—0
Coordinating Flexible Ramping Products with Dynamics of the Natural Gas Network—0
Asynchronous Distributed Optimization with Stochastic Delays—0
Coordinated Frequency-Constrained Stochastic Economic Dispatch for Integrated Transmission and Distribution System via Distributed Optimization—0
Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis—0
AIDE: Fast and Communication Efficient Distributed Optimization—0
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