Litcius/Paper detail

Distributed zeroth-order optimization: Convergence rates that match centralized counterpart

Deming Yuan, Lei Wang, Alexandre Proutière, Guodong Shi

2023Automatica21 citationsDOI

Topics & Concepts

Subgradient methodZeroth law of thermodynamicsScalabilityComputer scienceConvergence (economics)Node (physics)Mathematical optimizationRate of convergenceDistributed algorithmOptimization problemAlgorithmDistributed computingKey (lock)MathematicsEngineeringStructural engineeringPhysicsQuantum mechanicsDatabaseEconomic growthEconomicsComputer securityDistributed Control Multi-Agent SystemsAdvanced Optimization Algorithms ResearchStochastic Gradient Optimization Techniques
Distributed zeroth-order optimization: Convergence rates that match centralized counterpart | Litcius