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 101–110 of 536 papers

TitleStatusHype
A primal-dual method for conic constrained distributed optimization problems—0
Acceleration in Distributed Optimization under Similarity—0
Combining Graph Attention Networks and Distributed Optimization for Multi-Robot Mixed-Integer Convex Programming—0
Approximate Gradient Coding with Optimal Decoding—0
Collaborative Satisfaction of Long-Term Spatial Constraints in Multi-Agent Systems: A Distributed Optimization Approach (extended version)—0
Communication Efficient, Differentially Private Distributed Optimization using Correlation-Aware Sketching—0
Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss—0
Collaborative Learning over Wireless Networks: An Introductory Overview—0
A Plug and Play Distributed Secondary Controller for Microgrids with Grid-Forming Inverters—0
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies—0
Show:102550
← PrevPage 11 of 54Next →

No leaderboard results yet.