SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 531–536 of 536 papers

TitleStatusHype
Asynchronous Adaptation and Learning over Networks - Part II: Performance Analysis—0
Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent—0
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization—0
Diffusion Adaptation over Networks—0
Distributed Delayed Stochastic Optimization—0
Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling—0
Show:102550
← PrevPage 54 of 54Next →

No leaderboard results yet.