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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 221–230 of 536 papers

TitleStatusHype
Distributed Optimization for Smart Cyber-Physical Networks—0
Distributed Optimization for Traffic Light Control and Connected Automated Vehicle Coordination in Mixed-Traffic Intersections—0
Correlated quantization for distributed mean estimation and optimization—0
Distributed optimization in wireless sensor networks: an island-model framework—0
Distributed Optimization of Convex Sum of Non-Convex Functions—0
Distributed Optimization of Graph Convolutional Network using Subgraph Variance—0
Distributed Optimization over Block-Cyclic Data—0
Distributed Optimization Strategy for Multi Area Economic Dispatch Based on Electro Search Optimization Algorithm—0
Communication-Efficient Distributed SGD with Compressed Sensing—0
Asynchronous Distributed Optimization with Delay-free Parameters—0
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