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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 51–100 of 536 papers

TitleStatusHype
ALADIN-β: A Distributed Optimization Algorithm for Solving MPCC Problems—0
Combining Graph Attention Networks and Distributed Optimization for Multi-Robot Mixed-Integer Convex Programming—0
Convergence Theory of Flexible ALADIN for Distributed Optimization—0
Collaborative Satisfaction of Long-Term Spatial Constraints in Multi-Agent Systems: A Distributed Optimization Approach (extended version)—0
Communication Efficient Federated Learning with Linear Convergence on Heterogeneous Data—0
Byzantine-Resilient Federated Learning via Distributed Optimization—0
Accelerated Distributed Optimization with Compression and Error Feedback—0
Distributed Pose Graph Optimization using the Splitting Method based on the Alternating Direction Method of Multipliers—0
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges—0
Opportunistic Routing in Wireless Communications via Learnable State-Augmented PoliciesCode0
Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs—0
Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton—0
Smoothed Normalization for Efficient Distributed Private Optimization—0
Sign Operator for Coping with Heavy-Tailed Noise in Non-Convex Optimization: High Probability Bounds Under (L_0, L_1)-Smoothness—0
Efficient Distributed Optimization under Heavy-Tailed Noise—0
A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization—0
Communication-Efficient Distributed Kalman Filtering using ADMM—0
Distributed Model Predictive Control Design for Multi-agent Systems via Bayesian Optimization—0
Distributed Convex Optimization with State-Dependent (Social) Interactions over Random Networks—0
Accelerated Methods with Compressed Communications for Distributed Optimization Problems under Data Similarity—0
Towards privacy-preserving cooperative control via encrypted distributed optimization—0
Information-Geometric Barycenters for Bayesian Federated Learning—0
Deep Distributed Optimization for Large-Scale Quadratic Programming—0
Fractional Order Distributed Optimization—0
Review of Mathematical Optimization in Federated Learning—0
Problem-dependent convergence bounds for randomized linear gradient compression—0
Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks—0
Tighter Performance Theory of FedExProx—0
Byzantine-Resilient Output Optimization of Multiagent via Self-Triggered Hybrid Detection Approach—0
FedECADO: A Dynamical System Model of Federated Learning—0
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function—0
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information—0
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis—0
Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing—0
A Plug and Play Distributed Secondary Controller for Microgrids with Grid-Forming Inverters—0
Distributed Optimization via Energy Conservation Laws in Dilated Coordinates—0
Peer-to-Peer Learning Dynamics of Wide Neural Networks—0
Exploring Scaling Laws for Local SGD in Large Language Model Training—0
Distributed Optimization for Traffic Light Control and Connected Automated Vehicle Coordination in Mixed-Traffic Intersections—0
ADMM for Downlink Beamforming in Cell-Free Massive MIMO Systems—0
Distributed Optimization with Finite Bit Adaptive Quantization for Efficient Communication and Precision Enhancement—0
AttentionX: Exploiting Consensus Discrepancy In Attention from A Distributed Optimization Perspective—0
Seamless Integration: Sampling Strategies in Federated Learning Systems—0
Prescribed-time Convergent Distributed Multiobjective Optimization with Dynamic Event-triggered Communication—0
A survey on secure decentralized optimization and learning—0
Distributed Optimization by Network Flows with Spatio-Temporal Compression—0
Spatio-Temporal Communication Compression in Distributed Prime-Dual Flows—0
Distributed Difference of Convex Optimization—0
A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent—0
Cooperative Integrated Sensing and Communication Networks: Analysis and Distributed Design—0
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