Harnessing Smoothness to Accelerate Distributed Optimization
From MaRDI portal
Publication:4630148
DOI10.1109/TCNS.2017.2698261OpenAlexW3100513551MaRDI QIDQ4630148
Publication date: 29 March 2019
Published in: IEEE Transactions on Control of Network Systems (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1605.07112
Related Items
Distributed multi-step subgradient projection algorithm with adaptive event-triggering protocols: a framework of multiagent systems, Blended dynamics approach to distributed optimization: sum convexity and convergence rate, Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions, Distributed smooth optimisation with event-triggered proportional-integral algorithms, Zeroth-order algorithms for stochastic distributed nonconvex optimization, Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation, Distributed algorithm design for constrained resource allocation problems with high-order multi-agent systems, Distributed least squares solver for network linear equations, A unitary distributed subgradient method for multi-agent optimization with different coupling sources, A new Zeno-free event-triggered scheme for robust distributed optimal coordination, Distributed inverse optimal control, Subgradient averaging for multi-agent optimisation with different constraint sets, A distributed methodology for approximate uniform global minimum sharing, Distributed discrete-time convex optimization with nonidentical local constraints over time-varying unbalanced directed graphs, Distributed fixed point method for solving systems of linear algebraic equations, DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization, Tracking-ADMM for distributed constraint-coupled optimization, An event-triggering algorithm for decentralized stochastic optimization over networks, An accelerated exact distributed first-order algorithm for optimization over directed networks, A stochastic averaging gradient algorithm with multi‐step communication for distributed optimization, Online distributed detection of sensor networks with delayed information, A distributed optimization algorithm over Markov switching topology under adversarial attack, Augmented Lagrangian tracking for distributed optimization with equality and inequality coupling constraints, A resilient distributed optimization strategy against false data injection attacks, A fixed step distributed proximal gradient push‐pull algorithm based on integral quadratic constraint, Resilient consensus‐based distributed optimization under deception attacks, Decentralized nonconvex optimization with guaranteed privacy and accuracy, Distributed convex optimization as a tool for solving \(f\)-consensus problems, Zeroth-order feedback optimization for cooperative multi-agent systems, Distributed cooperative reinforcement learning for multi‐agent system with collision avoidance, A decentralized smoothing quadratic regularization algorithm for composite consensus optimization with non-Lipschitz singularities, Distributed nonconvex constrained optimization over time-varying digraphs, Distributed Algorithms with Finite Data Rates that Solve Linear Equations, Linear convergence of distributed estimation with constraints and communication delays, ET-PDA: an event-triggered parameter distributed accelerated algorithm for economic dispatch problems, Dynamics based privacy preservation in decentralized optimization, On the linear convergence of distributed Nash equilibrium seeking for multi-cluster games under partial-decision information, Gradient-tracking based differentially private distributed optimization with enhanced optimization accuracy, A Unified Framework for Continuous-Time Unconstrained Distributed Optimization, A variance-reduced stochastic gradient tracking algorithm for decentralized optimization with orthogonality constraints, Distributed stochastic compositional optimization problems over directed networks, EFIX: exact fixed point methods for distributed optimization, Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs, Golden ratio proximal gradient ADMM for distributed composite convex optimization, Proximal nested primal-dual gradient algorithms for distributed constraint-coupled composite optimization, Second-Order Guarantees of Distributed Gradient Algorithms, Recent theoretical advances in decentralized distributed convex optimization, Revisiting EXTRA for Smooth Distributed Optimization, Initialization-free privacy-guaranteed distributed algorithm for economic dispatch problem, Distributed consensus-based multi-agent convex optimization via gradient tracking technique, Convergence of distributed gradient-tracking-based optimization algorithms with random graphs, Unnamed Item, Distributed stochastic gradient tracking methods, Exact spectral-like gradient method for distributed optimization, On the linear convergence of two decentralized algorithms, Partition-based multi-agent optimization in the presence of lossy and asynchronous communication, Augmented Lagrange algorithms for distributed optimization over multi-agent networks via edge-based method, Communication-efficient algorithms for decentralized and stochastic optimization, Distributed decision-coupled constrained optimization via proximal-tracking, Distributed gradient tracking methods with finite data rates, A multi-scale method for distributed convex optimization with constraints, Convergence results of a nested decentralized gradient method for non-strongly convex problems, Unnamed Item, Distributed stochastic subgradient projection algorithms based on weight-balancing over time-varying directed graphs, Multi-agent reinforcement learning: a selective overview of theories and algorithms, An accelerated distributed gradient method with local memory, Surplus-based accelerated algorithms for distributed optimization over directed networks, A dual approach for optimal algorithms in distributed optimization over networks, Triggered gradient tracking for asynchronous distributed optimization, On the convergence of exact distributed generalisation and acceleration algorithm for convex optimisation, Fast Decentralized Nonconvex Finite-Sum Optimization with Recursive Variance Reduction, Distributed optimization with inexact oracle
