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Distributed Optimization for Smart Cyber-Physical Networks

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Distributed Optimization and Games: A Tutorial Overview

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Randomized Algorithms for Geometric Optimization Problems

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Nonlinear Programming

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Multi-agent Optimization

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Large-Scale and Distributed Optimization

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Helly-type theorems and Generalized Linear Programming

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Distributed nonconvex constrained optimization over time-varying digraphs

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Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization

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Primal Recovery from Consensus-Based Dual Decomposition for Distributed Convex Optimization

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Model predictive control: Theory and practice—A survey

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Lexicographic perturbation for multiparametric linear programming with applications to control

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Discrete-time dynamic average consensus

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A distributed simplex algorithm for degenerate linear programs and multi-agent assignments

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Accelerated gradient methods and dual decomposition in distributed model predictive control

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On linear convergence of a distributed dual gradient algorithm for linearly constrained separable convex problems

inferredcites →https://doi.org/10.1016/j.automatica.2015.03.001openalex-snapshot

Distributed convex optimization via continuous-time coordination algorithms with discrete-time communication

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Distributed multi-agent optimization subject to nonidentical constraints and communication delays

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Initialization-free distributed coordination for economic dispatch under varying loads and generator commitment

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Convergence rate analysis of distributed optimization with projected subgradient algorithm

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Dual decomposition for multi-agent distributed optimization with coupling constraints

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A distributed asynchronous method of multipliers for constrained nonconvex optimization

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A Robust Block-Jacobi Algorithm for Quadratic Programming under Lossy Communications

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A Duality-Based Approach for Distributed Optimization with Coupling Constraints

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Distributed Optimization over Directed Graphs with the help of Lie Brackets

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On fully distributed dual first order methods for convex network optimization

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A Jacobi Decomposition Algorithm for Distributed Convex Optimization in Distributed Model Predictive Control

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Parallel and distributed optimization methods for estimation and control in networks

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Fast linear iterations for distributed averaging

inferredcites →https://doi.org/10.1016/j.sysconle.2017.07.012openalex-snapshot

Distributed optimal in-network resource allocation algorithm design via a control theoretic approach

inferredcites →https://doi.org/10.1038/sj.jors.2600425openalex-snapshot

Nonlinear Programming

inferredcites →https://doi.org/10.1109/acssc.2016.7869154openalex-snapshot

Distributed nonconvex multiagent optimization over time-varying networks

inferredcites →https://doi.org/10.1109/acssc.2016.7869516openalex-snapshot

Decentralized consensus optimization with asynchrony and delays

inferredcites →https://doi.org/10.1109/allerton.2017.8262874openalex-snapshot

Robust convergence analysis of distributed optimization algorithms

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Distributed nonconvex optimization over networks

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Distributed big-data optimization via block communications

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A distributed Newton method for Network Utility Maximization

inferredcites →https://doi.org/10.1109/cdc.2011.6160605openalex-snapshot

Newton-Raphson consensus for distributed convex optimization

inferredcites →https://doi.org/10.1109/cdc.2011.6161503openalex-snapshot

A control perspective for centralized and distributed convex optimization

inferredcites →https://doi.org/10.1109/cdc.2012.6426375openalex-snapshot

Push-Sum Distributed Dual Averaging for convex optimization

inferredcites →https://doi.org/10.1109/cdc.2013.6760235openalex-snapshot

A dual decomposition algorithm for separable nonconvex optimization using the penalty function framework

inferredcites →https://doi.org/10.1109/cdc.2013.6760336openalex-snapshot

Distributed partition-based optimization via dual decomposition

inferredcites →https://doi.org/10.1109/cdc.2015.7402236openalex-snapshot

Analysis of Newton-Raphson consensus for multi-agent convex optimization under asynchronous and lossy communications

inferredcites →https://doi.org/10.1109/cdc.2015.7402402openalex-snapshot

A core-set approach for distributed quadratic programming in big-data classification

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Augmented distributed gradient methods for multi-agent optimization under uncoordinated constant stepsizes

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Harnessing smoothness to accelerate distributed optimization

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A geometrically convergent method for distributed optimization over time-varying graphs

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A duality-based approach for distributed min-max optimization with application to demand side management

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New primal-dual proximal algorithm for distributed optimization

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Distributed continuous-time online optimization using saddle-point methods

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Accelerated distributed Nesterov Gradient Descent for convex and smooth functions

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Distributed big-data optimization via block-iterative convexification and averaging

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A finite-time cutting plane algorithm for distributed mixed integer linear programming

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Distributed Submodular Minimization Over Networks: A Greedy Column Generation Approach

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Asynchronous Distributed Optimization with Heterogeneous Regularizations and Normalizations

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A Consensus-Based Distributed Augmented Lagrangian Method

inferredcites →https://doi.org/10.1109/cdc.2018.8619597openalex-snapshot

A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming

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A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks

inferredcites →https://doi.org/10.1109/globalsip.2013.6736937openalex-snapshot

On the O(1=k) convergence of asynchronous distributed alternating Direction Method of Multipliers

inferredcites →https://doi.org/10.1109/icassp.2017.7952916openalex-snapshot

Distributed nonconvex optimization for sparse representation

inferredcites →https://doi.org/10.1109/isit.2010.5513273openalex-snapshot

Weighted Gossip: Distributed Averaging using non-doubly stochastic matrices

inferredcites →https://doi.org/10.1109/jproc.2018.2817461openalex-snapshot

Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization

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A tutorial on decomposition methods for network utility maximization

inferredcites →https://doi.org/10.1109/jstsp.2011.2118740openalex-snapshot

Distributed Asynchronous Constrained Stochastic Optimization

inferredcites →https://doi.org/10.1109/jstsp.2013.2246511openalex-snapshot

Designing Games for Distributed Optimization

inferredcites →https://doi.org/10.1109/jstsp.2013.2247023openalex-snapshot

Distributed Random Projection Algorithm for Convex Optimization

inferredcites →https://doi.org/10.1109/lcomm.2012.112812.121788openalex-snapshot

In-Network-Processing: Distributed Consensus-Based Linear Estimation

inferredcites →https://doi.org/10.1109/lsp.2012.2207719openalex-snapshot

A Distributed and Scalable Processing Method Based Upon ADMM

inferredcites →https://doi.org/10.1109/msp.2012.2192951openalex-snapshot

Demand-Side Management in the Smart Grid: Information Processing for the Power Switch

inferredcites →https://doi.org/10.1109/tac.2008.2009515openalex-snapshot

Distributed Subgradient Methods for Multi-Agent Optimization

inferredcites →https://doi.org/10.1109/tac.2010.2041686openalex-snapshot

Constrained Consensus and Optimization in Multi-Agent Networks

inferredcites →https://doi.org/10.1109/tac.2010.2079650openalex-snapshot

Asynchronous Broadcast-Based Convex Optimization Over a Network

inferredcites →https://doi.org/10.1109/tac.2010.2091295openalex-snapshot

Distributed Subgradient Methods for Convex Optimization Over Random Networks

inferredcites →https://doi.org/10.1109/tac.2011.2164020openalex-snapshot

Distributed Abstract Optimization via Constraints Consensus: Theory and Applications

inferredcites →https://doi.org/10.1109/tac.2011.2167817openalex-snapshot

On Distributed Convex Optimization Under Inequality and Equality Constraints

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Distributed Seeking of Nash Equilibria With Applications to Mobile Sensor Networks

inferredcites →https://doi.org/10.1109/tac.2012.2184199openalex-snapshot

Zero-Gradient-Sum Algorithms for Distributed Convex Optimization: The Continuous-Time Case

inferredcites →https://doi.org/10.1109/tac.2012.2209984openalex-snapshot

Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization

inferredcites →https://doi.org/10.1109/tac.2013.2250071openalex-snapshot

Random Coordinate Descent Algorithms for Multi-Agent Convex Optimization Over Networks

inferredcites →https://doi.org/10.1109/tac.2013.2253223openalex-snapshot

A Distributed Newton Method for Network Utility Maximization—Part II: Convergence

inferredcites →https://doi.org/10.1109/tac.2013.2278132openalex-snapshot

Distributed Continuous-Time Convex Optimization on Weight-Balanced Digraphs

inferredcites →https://doi.org/10.1109/tac.2013.2281883openalex-snapshot

A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization

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Fast Distributed Gradient Methods

inferredcites →https://doi.org/10.1109/tac.2014.2308612openalex-snapshot

Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method

inferredcites →https://doi.org/10.1109/tac.2014.2363299openalex-snapshot

Linear Convergence Rate of a Class of Distributed Augmented Lagrangian Algorithms

inferredcites →https://doi.org/10.1109/tac.2014.2364096openalex-snapshot

Distributed Optimization Over Time-Varying Directed Graphs

inferredcites →https://doi.org/10.1109/tac.2015.2404451openalex-snapshot

Robust Distributed Linear Programming

inferredcites →https://doi.org/10.1109/tac.2015.2448011openalex-snapshot

Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers

inferredcites →https://doi.org/10.1109/tac.2015.2449811openalex-snapshot

Newton-Raphson Consensus for Distributed Convex Optimization

inferredcites →https://doi.org/10.1109/tac.2015.2460051openalex-snapshot

Asynchronous Gossip-Based Random Projection Algorithms Over Networks

inferredcites →https://doi.org/10.1109/tac.2016.2607023openalex-snapshot

Asynchronous Distributed Optimization Via Randomized Dual Proximal Gradient

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A Multi-Agent System With a Proportional-Integral Protocol for Distributed Constrained Optimization

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Distributed Saddle-Point Subgradient Algorithms With Laplacian Averaging

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Non-Convex Distributed Optimization

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Stochastic Dual Averaging for Decentralized Online Optimization on Time-Varying Communication Graphs

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Asynchronous Multiagent Primal-Dual Optimization

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DEXTRA: A Fast Algorithm for Optimization Over Directed Graphs

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Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization

inferredcites →https://doi.org/10.1109/tac.2017.2730481openalex-snapshot

Convergence of Asynchronous Distributed Gradient Methods Over Stochastic Networks

inferredcites →https://doi.org/10.1109/tac.2017.2747505openalex-snapshot

Distributed Constrained Optimization and Consensus in Uncertain Networks via Proximal Minimization

inferredcites →https://doi.org/10.1109/tac.2018.2797164openalex-snapshot

Linear Convergence in Optimization Over Directed Graphs With Row-Stochastic Matrices

inferredcites →https://doi.org/10.1109/tac.2018.2805260openalex-snapshot

A Bregman Splitting Scheme for Distributed Optimization Over Networks

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Distributed Convex Optimization with Inequality Constraints over Time-Varying Unbalanced Digraphs

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Passivity-Based Distributed Optimization With Communication Delays Using PI Consensus Algorithm

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A Duality-Based Approach for Distributed Min–Max Optimization

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Multiagent Newton–Raphson Optimization Over Lossy Networks

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Fenchel Dual Gradient Methods for Distributed Convex Optimization Over Time-Varying Networks

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Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange

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Distributed Big-Data Optimization via Blockwise Gradient Tracking

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An $O(1/k)$ Gradient Method for Network Resource Allocation Problems

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Distributed Generator Coordination for Initialization and Anytime Optimization in Economic Dispatch

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Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition

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Constraint-Coupled Distributed Optimization: A Relaxation and Duality Approach

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NEXT: In-Network Nonconvex Optimization

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Asynchronous Optimization Over Heterogeneous Networks Via Consensus ADMM

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Decentralized Consensus Optimization With Asynchrony and Delays

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Consensus in Ad Hoc WSNs With Noisy Links—Part I: Distributed Estimation of Deterministic Signals

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Distributed In-Network Channel Decoding

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Diffusion LMS Strategies for Distributed Estimation

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Distributed Sparse Linear Regression

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Cooperative Convex Optimization in Networked Systems: Augmented Lagrangian Algorithms With Directed Gossip Communication

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Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks

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D-ADMM: A Communication-Efficient Distributed Algorithm for Separable Optimization

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Decentralized Dynamic Optimization Through the Alternating Direction Method of Multipliers

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On the Linear Convergence of the ADMM in Decentralized Consensus Optimization

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Multi-Agent Distributed Optimization via Inexact Consensus ADMM

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DLM: Decentralized Linearized Alternating Direction Method of Multipliers

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A Proximal Gradient Algorithm for Decentralized Composite Optimization

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The ADMM Algorithm for Distributed Quadratic Problems: Parameter Selection and Constraint Preconditioning

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A Proximal Dual Consensus ADMM Method for Multi-Agent Constrained Optimization

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DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers

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Distributed Gradient Methods with Variable Number of Working Nodes

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Weighted ADMM for Fast Decentralized Network Optimization

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Network Newton Distributed Optimization Methods

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Decentralized Quasi-Newton Methods

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On Nonconvex Decentralized Gradient Descent

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A Randomized Incremental Subgradient Method for Distributed Optimization in Networked Systems

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First-Order Methods in Optimization

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On the Convergence of Decentralized Gradient Descent

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EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization

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Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs

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Gradient Convergence in Gradient methods with Errors

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A training algorithm for optimal margin classifiers

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Distributed Optimization for Control

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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

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Convergence Rate of Distributed Averaging Dynamics and Optimization in Networks

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Distributed Averaging and Balancing in Network Systems

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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

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Geometrically convergent distributed optimization with uncoordinated step-sizes

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Distributed Method of Multiplier for Coupled Lagrangian Problems: A Control Approach

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On the Lie Bracket Approximation Approach to Distributed optimization: Extensions and Limitations

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Asynchronous Newton-Raphson Consensus for Distributed Convex Optimization

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A Survey of Distributed Optimization

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Multi-Agent Optimization and Learning: A Non-Expansive Operators Perspective

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Data Privacy in Multi-Agent Optimization Under Uncertainty

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Recurrent averaging inequalities in multi-agent control and social dynamics modeling

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A distributed methodology for approximate uniform global minimum sharing

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Triggered Gradient Tracking for asynchronous distributed optimization

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Nonconvex distributed feedback optimization for aggregative cooperative robotics

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Distributed safe control design and probabilistic safety verification for multi-agent systems

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DISROPT: a Python Framework for Distributed Optimization

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Distributed Submodular Minimization via Block-Wise Updates and Communications

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A distributed optimization algorithm for Nash bargaining in multi-agent systems

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Aggregative feedback optimization for distributed cooperative robotics

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Privacy-preserving distributed aggregative optimization for multi-agent systems: A secure multi-party computation framework

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Analysis of coupled distributed stochastic approximation for misspecified optimization

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Multi-agent reinforcement learning for decentralized control of shared battery energy storage system in residential community

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A belief-based multi-agent reinforcement learning approach for electric vehicle coordination in a residential community

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A multi-agent mean-field actor critic approach for shared battery energy storage systems

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A causal filter of gradient information for enhanced robustness and resilience in distributed convex optimization

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Sparse convex optimization toolkit: a mixed-integer framework

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Workplace energy management with EVs by a novel distributed mixed-integer linear programming algorithm

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On the Cyber-Physical Needs of DER-Based Voltage Control/Optimization Algorithms in Active Distribution Network

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Distributed Model Predictive Frequency Control of Inverter-Based Power Systems

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Accelerated Decentralized Load Balancing in Multi-Agent Networks

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A Distributed Algorithm for Coordination in Energy Communities *

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Discover Community Structure in Network by Optimization Algorithm Based on Modular Function

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Advanced SPSA-based Algorithm for Multi-Target Tracking in Distributed Sensor Networks

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Distributed Consensus Optimization via ADMM-Tracking Gradient

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Online Distributed Learning with Quantized Finite-Time Coordination

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Data-driven distributionally robust optimization over a network via distributed semi-infinite programming

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A Learning-based Distributed Algorithm for Personalized Aggregative Optimization

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Stability, Linear Convergence, and Robustness of the Wang-Elia Algorithm for Distributed Consensus Optimization

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Asynchronous Distributed Learning with Quantized Finite-Time Coordination

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Distributed Learning by Local Training ADMM

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Hierarchical optimization framework for network resource allocation under uncertainty

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A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization

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Distributed Optimization Over Markovian Switching Random Network

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Design of ANSYS Optimization Algorithm in Steel Structure Intelligent Network Security Monitoring System

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Decentralized Gradient Tracking with Fixed-Time Local Updates

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Fully Distributed Optimal Control of Cyber-Physical Distribution System Based on Consensus-ADMM Algorithm

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Prediction-Based Distributed Zero-Order Optimization Algorithm Under Sparsification Transmissions

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A Tutorial on Distributed Optimization for Cooperative Robotics: From Setups and Algorithms to Toolboxes and Research Directions

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How Physicality Enables Cy-Trust: A New Era of Trust-Centered Cyber–Physical Systems

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Resilient Microgrid Energy Management Algorithm Based on Distributed Optimization

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Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization

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Nonconvex Distributed Optimization via Lasalle and Singular Perturbations

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A Consensus Q-Learning Approach for Decentralized Control of Shared Energy Storage

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A Cutting Plane-Based Distributed Algorithm for Non-Smooth Optimisation With Coupling Constraints

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Distributed Aggregative Optimization on Nonholonomic Multirobot Systems With Predefined-Time Estimation

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Tuning-Free Distributed Least-Squares Algorithm for Linear Algebraic Equations With Sum-Separable Data

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ChoiRbot: A ROS 2 Toolbox for Cooperative Robotics

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Cross Apprenticeship Learning Framework: Properties and Solution Approaches

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Distributed Primal Decomposition for Large-Scale MILPs

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Distributed Variable Sample-Size Stochastic Optimization With Fixed Step-Sizes

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Distributed Online Aggregative Optimization for Dynamic Multirobot Coordination

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Distributed Subgradient Method in Open Multiagent Systems

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Robust Constrained Consensus and Inequality-Constrained Distributed Optimization With Guaranteed Differential Privacy and Accurate Convergence

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Robust Online Learning Over Networks

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Leader-Following Consensus With Prescribed Performance for Linear Multiagent Systems

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A Distributed Feedback-Based Framework for Nonlinear Aggregative Optimal Control

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ADMM-Tracking Gradient for Distributed Optimization Over Asynchronous and Unreliable Networks

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Distributed Discrete-Time Dynamic Outer Approximation of the Intersection of Ellipsoids

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A Unifying System Theory Framework for Distributed Optimization and Games

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Distributed Fractional Bayesian Learning for Adaptive Optimization

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Distributed Alternating Gradient Descent for Convex Semi-Infinite Programs Over a Network

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Distributed Mismatch Tracking Algorithm for Constraint-Coupled Resource Allocation: Optimality and Differential Privacy

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Differentially Private Distributed Model Predictive Control of Linear Discrete-Time Systems With Global Constraints

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Extremum Seeking Tracking for Derivative-Free Distributed Optimization

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A Distributed Mixed-Integer Framework to Stochastic Optimal Microgrid Control

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Distributed Online Optimization Of Consensus-Based Adaptive Gradients Over Time-Varying Networks

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Multi-Robot Pickup and Delivery via Distributed Resource Allocation

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Distributed Convex Optimization “Over-the-Air” in Dynamic Environments

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Alternating Projection Method for Intersection of Convex Sets, Multi-Agent Consensus Algorithms, and Averaging Inequalities

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Distributed Control of Networked Systems with Nonlinear Dynamics and Coupling Constraints

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Weighted SPSA-based Consensus Algorithm for Distributed Cooperative Target Tracking

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Resilient Distributed MPC Algorithm for Microgrid Energy Management under Uncertainties

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Distributed Optimization of Average Consensus Containment with Multiple Stationary Leaders

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State Estimation Using a Network of Observers: A Distributed Optimization Approach

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A Survey on Noncooperative Games and Distributed Nash Equilibrium Seeking over Multi-Agent Networks

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Alternating Projection Method for Intersection of Convex Sets, Multi-Agent Consensus Algorithms and Averaging Inequalities

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Constraint-coupled Optimization with Unknown Costs: A Distributed Primal Decomposition Approach

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Contributions to open multi-agent systems : consensus, optimization and epidemics

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.