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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 151–200 of 536 papers

TitleStatusHype
EControl: Fast Distributed Optimization with Compression and Error Control—0
Zeroth-Order Feedback-Based Optimization for Distributed Demand Response—0
Correlation Aware Sparsified Mean Estimation Using Random Projection—0
Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets—0
Distributed Delay-Tolerant Strategies for Equality-Constraint Sum-Preserving Resource Allocation—0
Distributed Linear Regression with Compositional Covariates—0
Distributed Continuous-Time Optimization with Uncertain Time-Varying Quadratic Cost Functions—0
Detecting Shared Data Manipulation in Distributed Optimization Algorithms—0
LASER: Linear Compression in Wireless Distributed Optimization—0
Network-aware EV charging and discharging in unbalanced distribution grids: A distributed, robust approach against communication failures—0
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved RatesCode0
Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization—0
Transmission Investment Coordination using MILP Lagrange Dual Decomposition and Auxiliary Problem PrincipleCode0
Federated Multi-Level Optimization over Decentralized Networks—0
Decentralized Federated Learning via MIMO Over-the-Air Computation: Consensus Analysis and Performance Optimization—0
Federated Conditional Stochastic Optimization—0
High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise—0
A primal-dual perspective for distributed TD-learningCode0
Privacy-Preserving Distributed Market Mechanism for Active Distribution Networks—0
On Linear Convergence of PI Consensus Algorithm under the Restricted Secant Inequality—0
CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity—0
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM—0
Linear Speedup of Incremental Aggregated Gradient Methods on Streaming Data—0
Distributed Optimization via Gradient Descent with Event-Triggered Zooming over Quantized Communication—0
Moreau Envelope ADMM for Decentralized Weakly Convex Optimization—0
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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