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 476–500 of 536 papers

TitleStatusHype
Advances in Asynchronous Parallel and Distributed Optimization—0
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis—0
A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization—0
AIDE: Fast and Communication Efficient Distributed Optimization—0
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information—0
A KL-based Analysis Framework with Applications to Non-Descent Optimization Methods—0
ALADIN-α -- An open-source MATLAB toolbox for distributed non-convex optimization—0
ALADIN-β: A Distributed Optimization Algorithm for Solving MPCC Problems—0
Algorithm Unrolling-Based Distributed Optimization for RIS-Assisted Cell-Free Networks—0
A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent—0
An Equivalent Circuit Approach to Distributed Optimization—0
SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing—0
An Exact Quantized Decentralized Gradient Descent Algorithm—0
An Integrated Optimization + Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids—0
An Online Optimization Approach for Multi-Agent Tracking of Dynamic Parameters in the Presence of Adversarial Noise—0
A Novel Decentralized Algorithm for Coordinating the Optimal Power and Traffic Flows with EVs based on Variable Inner Loop Selection—0
Anytime MiniBatch: Exploiting Stragglers in Online Distributed Optimization—0
A Plug and Play Distributed Secondary Controller for Microgrids with Grid-Forming Inverters—0
Approximate Gradient Coding with Optimal Decoding—0
A primal-dual method for conic constrained distributed optimization problems—0
A Provably Communication-Efficient Asynchronous Distributed Inference Method for Convex and Nonconvex Problems—0
A Reinforcement Learning Approach to Parameter Selection for Distributed Optimal Power Flow—0
A Semi-Distributed Interior Point Algorithm for Optimal Coordination of Automated Vehicles at Intersections—0
A Sequential Approximation Framework for Coded Distributed Optimization—0
A Stochastic Large-scale Machine Learning Algorithm for Distributed Features and Observations—0
Show:102550
← PrevPage 20 of 22Next →

No leaderboard results yet.