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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

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Showing 176–200 of 536 papers

TitleStatusHype
Privacy-Preserving Push-Pull Method for Decentralized Optimization via State Decomposition—0
Learning (With) Distributed Optimization—0
Continuous-Time Distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes—0
Federated K-Means Clustering via Dual Decomposition-based Distributed Optimization—0
Differentially Private Distributed Estimation and LearningCode0
Distributed Random Reshuffling Methods with Improved Convergence—0
Robust Optimization, Structure/Control co-design, Distributed Optimization, Monolithic Optimization, Robust Control, Parametric Uncertainty—0
Towards Scalable Multi-View Reconstruction of Geometry and Materials—0
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?—0
An Equivalent Circuit Approach to Distributed Optimization—0
Error Feedback Shines when Features are RareCode0
Coordinated Frequency-Constrained Stochastic Economic Dispatch for Integrated Transmission and Distribution System via Distributed Optimization—0
Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization—0
DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime—0
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control—0
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling—0
Network-GIANT: Fully distributed Newton-type optimization via harmonic Hessian consensus—0
Distributed Coordination of Multi-Microgrids in Active Distribution Networks for Provisioning Ancillary Services—0
A Novel Decentralized Algorithm for Coordinating the Optimal Power and Traffic Flows with EVs based on Variable Inner Loop Selection—0
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis—0
D-SVM over Networked Systems with Non-Ideal Linking Conditions—0
A Survey on Distributed Evolutionary Computation—0
CEC: Crowdsourcing-based Evolutionary Computation for Distributed Optimization—0
Distributed Optimization for Quadratic Cost Functions over Large-Scale Networks with Quantized Communication and Finite-Time Convergence—0
On Degeneracy Issues in Multi-parametric Programming and Critical Region Exploration based Distributed Optimization in Smart Grid Operations—0
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