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 201–210 of 536 papers

TitleStatusHype
Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics—0
Distributed Model Predictive Control with Reconfigurable Terminal Ingredients for Reference Tracking—0
Distributed model predictive control without terminal cost under inexact distributed optimization—0
Parallel Momentum Methods Under Biased Gradient Estimations—0
Distributed MPC for Self-Organized Cooperation of Multiagent Systems -- Extended Version—0
Distributed-MPC with Data-Driven Estimation of Bus Admittance Matrix in Voltage Control—0
Distributed Multi-Task Relationship Learning—0
Distributed Nesterov gradient methods over arbitrary graphs—0
Distributed Newton Can Communicate Less and Resist Byzantine Workers—0
Correlated quantization for distributed mean estimation and optimization—0
Show:102550
← PrevPage 21 of 54Next →

No leaderboard results yet.