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 126–150 of 536 papers

TitleStatusHype
Convergence Theory of Generalized Distributed Subgradient Method with Random Quantization—0
AttentionX: Exploiting Consensus Discrepancy In Attention from A Distributed Optimization Perspective—0
ALADIN-β: A Distributed Optimization Algorithm for Solving MPCC Problems—0
A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates—0
Asynchronous Stochastic Optimization Robust to Arbitrary Delays—0
ALADIN-α -- An open-source MATLAB toolbox for distributed non-convex optimization—0
A continuous-time analysis of distributed stochastic gradient—0
Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Steps—0
Data Encoding for Byzantine-Resilient Distributed Optimization—0
DASHA: Distributed Nonconvex Optimization with Communication Compression, Optimal Oracle Complexity, and No Client Synchronization—0
CSWA: Aggregation-Free Spatial-Temporal Community Sensing—0
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees—0
A KL-based Analysis Framework with Applications to Non-Descent Optimization Methods—0
Cost-efficient SVRG with Arbitrary Sampling—0
Correlation Aware Sparsified Mean Estimation Using Random Projection—0
Asynchronous Forward Bounding for Distributed COPs—0
DC-DistADMM: ADMM Algorithm for Constrained Distributed Optimization over Directed Graphs—0
Decentralized Feature-Distributed Optimization for Generalized Linear Models—0
Decentralized Federated Learning via MIMO Over-the-Air Computation: Consensus Analysis and Performance Optimization—0
Decentralized gradient methods: does topology matter?—0
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking—0
Decentralized Optimization with Distributed Features and Non-Smooth Objective Functions—0
Decentralized Personalized Federated Learning for Min-Max Problems—0
Correlated Quantization for Faster Nonconvex Distributed Optimization—0
Correlated quantization for distributed mean estimation and optimization—0
Show:102550
← PrevPage 6 of 22Next →

No leaderboard results yet.