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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 201–250 of 536 papers

TitleStatusHype
Distributed Mirror Descent with Integral Feedback: Asymptotic Convergence Analysis of Continuous-time Dynamics—0
Distributed Model Predictive Control with Reconfigurable Terminal Ingredients for Reference Tracking—0
Distributed model predictive control without terminal cost under inexact distributed optimization—0
Parallel Momentum Methods Under Biased Gradient Estimations—0
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning—0
Distributed-MPC with Data-Driven Estimation of Bus Admittance Matrix in Voltage Control—0
Differentially-Private Distributed Model Predictive Control of Linear Discrete-Time Systems with Global Constraints—0
Distributed Nesterov gradient methods over arbitrary graphs—0
Differentially Private Distributed Convex Optimization—0
Distributed Newton-like Algorithms and Learning for Optimized Power Dispatch—0
Differentially Private Consensus-Based Distributed Optimization—0
GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization—0
Distributed Online Optimization with Byzantine Adversarial Agents—0
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs—0
Distributed Optimization for Client-Server Architecture with Negative Gradient Weights—0
Distributed Optimization for Massive Connectivity—0
Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets—0
Accelerated Distributed Optimization with Compression and Error Feedback—0
Detecting Shared Data Manipulation in Distributed Optimization Algorithms—0
Distributed Optimization for Reactive Power Sharing and Stability of Inverter-Based Resources Under Voltage Limits—0
Design of heterogeneous multi-agent system for distributed computation—0
Distributed Optimization for Traffic Light Control and Connected Automated Vehicle Coordination in Mixed-Traffic Intersections—0
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning—0
Distributed optimization in wireless sensor networks: an island-model framework—0
Distributed Optimization of Convex Sum of Non-Convex Functions—0
Distributed Optimization of Graph Convolutional Network using Subgraph Variance—0
Delayed Projection Techniques for Linearly Constrained Problems: Convergence Rates, Acceleration, and Applications—0
Distributed Optimization Strategy for Multi Area Economic Dispatch Based on Electro Search Optimization Algorithm—0
Deep Reinforcement Learning for QoS-Constrained Resource Allocation in Multiservice Networks—0
Distributed Optimization via Energy Conservation Laws in Dilated Coordinates—0
BALPA: A Balanced Primal-Dual Algorithm for Nonsmooth Optimization with Application to Distributed Optimization—0
Distributed Optimization via Kernelized Multi-armed Bandits—0
A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent—0
Distributed Optimization with Efficient Communication, Event-Triggered Solution Enhancement, and Operation Stopping—0
Distributed Optimization with Finite Bit Adaptive Quantization for Efficient Communication and Precision Enhancement—0
Distributed Optimization with Gradient Tracking over Heterogeneous Delay-Prone Directed Networks—0
Distributed Personalized Gradient Tracking with Convex Parametric Models—0
Distributed Pose Graph Optimization using the Splitting Method based on the Alternating Direction Method of Multipliers—0
Deep Learning for Distributed Optimization: Applications to Wireless Resource Management—0
Distributed Random Reshuffling Methods with Improved Convergence—0
Distributed Random Reshuffling over Networks—0
Distributed Resource Allocation Algorithms for Multi-Operator Cognitive Communication Systems—0
Deep Distributed Optimization for Large-Scale Quadratic Programming—0
Distributed saddle point problems for strongly concave-convex functions—0
Distributed Second Order Methods with Fast Rates and Compressed Communication—0
Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration and Lower Bounds—0
Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems—0
Distributed Stochastic Variance Reduced Gradient Methods and A Lower Bound for Communication Complexity—0
Distributed System Identification for Linear Stochastic Systems with Binary Sensors—0
DEED: A General Quantization Scheme for Communication Efficiency in Bits—0
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