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Accelerated Distributed Nesterov Gradient Descent

https://doi.org/10.1109/tac.2019.2937496
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What this work says

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

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Distributed multi-agent optimization with state-dependent communication
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First-order methods of smooth convex optimization with inexact oracle
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An augmented Lagrangian method for distributed optimization
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Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
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Matrix Analysis
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Convergence analysis of distributed subgradient methods over random networks
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A fast distributed proximal-gradient method
inferredcites →https://doi.org/10.1109/allerton.2016.7852231openalex-snapshot
Accelerated Distributed Nesterov Gradient Descent for smooth and strongly convex functions
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Distributed nonconvex optimization over networks
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Distributed Alternating Direction Method of Multipliers
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Augmented distributed gradient methods for multi-agent optimization under uncoordinated constant stepsizes
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A Distributed Stochastic Gradient Tracking Method
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A Push-Pull Gradient Method for Distributed Optimization in Networks
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Consensus and Cooperation in Networked Multi-Agent Systems
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Performance Evaluation of the Consensus-Based Distributed Subgradient Method Under Random Communication Topologies
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A Linear Algorithm for Optimization Over Directed Graphs With Geometric Convergence
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Distributed Subgradient Methods for Multi-Agent Optimization
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Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling
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On Distributed Convex Optimization Under Inequality and Equality Constraints
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Fast Distributed Gradient Methods
inferredcites →https://doi.org/10.1109/tac.2014.2364096openalex-snapshot
Distributed Optimization Over Time-Varying Directed Graphs
inferredcites →https://doi.org/10.1109/tac.2017.2737582openalex-snapshot
ADD-OPT: Accelerated Distributed Directed Optimization
inferredcites →https://doi.org/10.1109/tac.2019.2937496openalex-snapshot
Accelerated Distributed Nesterov Gradient Descent
inferredcites →https://doi.org/10.1109/tcns.2017.2698261openalex-snapshot
Harnessing Smoothness to Accelerate Distributed Optimization
inferredcites →https://doi.org/10.1109/tsipn.2016.2524588openalex-snapshot
NEXT: In-Network Nonconvex Optimization
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Distributed Spectrum Sensing for Cognitive Radio Networks by Exploiting Sparsity
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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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Convergence Speed in Distributed Consensus and Averaging
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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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Consensus-based distributed linear support vector machines
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Katyusha: the first direct acceleration of stochastic gradient methods
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Distributed Asynchronous Deterministic and Stochastic Gradient Optimization Algorithms
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Geometrically convergent distributed optimization with uncoordinated step-sizes
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ExtraPush for Convex Smooth Decentralized Optimization over Directed Networks
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On random graphs. I.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Distributed Zero-Order Algorithms for Nonconvex Multiagent Optimization
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Accelerated $AB$/Push–Pull Methods for Distributed Optimization Over Time-Varying Directed Networks
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A Prediction-Correction Proximal Method for Convex Optimization With Linear Equality and Inequality Constraints
inferred← citeshttps://doi.org/10.1109/tcns.2026.3667761openalex-snapshot
Riemannian Momentum Tracking: Distributed Optimization With Momentum on Compact Submanifolds
inferred← citeshttps://doi.org/10.1109/tcns.2026.3667777openalex-snapshot
Primal-Dual Strategy for Composite Optimization Over Directed Graphs
inferred← citeshttps://doi.org/10.1109/tcyb.2022.3218663openalex-snapshot
Convergence Analysis of Distributed Gradient Descent Algorithms With One and Two Momentum Terms
inferred← citeshttps://doi.org/10.1109/tcyb.2023.3270185openalex-snapshot
Distributed Discrete-Time Convex Optimization With Closed Convex Set Constraints: Linearly Convergent Algorithm Design
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Balancing Communication and Acceleration: Exact One-to-One Optimization for Distributed Multiagent Learning Systems
inferred← citeshttps://doi.org/10.1109/td48022.2026.11562564openalex-snapshot
Accelerated Distributed Optimization for Voltage Control in Power Distribution Systems
inferred← citeshttps://doi.org/10.1109/tetci.2024.3382232openalex-snapshot
Distributed Heavy-Ball Over Time-Varying Digraphs With Barzilai-Borwein Step Sizes
inferred← citeshttps://doi.org/10.1109/tii.2026.3653577openalex-snapshot
Optimal Voltage Control for Active Distribution Networks Utilizing a Distributed Event-Triggered Accelerated Method
inferred← citeshttps://doi.org/10.1109/tim.2022.3176898openalex-snapshot
Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson’s Disease
inferred← citeshttps://doi.org/10.1109/tits.2023.3300871openalex-snapshot
A Novel Distributed Situation Awareness Consensus Approach for UAV Swarm Systems
inferred← citeshttps://doi.org/10.1109/tmc.2025.3582911openalex-snapshot
Graph Neural Networks for the Optimization of Collaborative Federated Learning Energy Efficiency
inferred← citeshttps://doi.org/10.1109/tmlcn.2026.3737073openalex-snapshot
Privacy-Preserving Distributed Online Learning With Zeroth-Order Feedback Over Directed Networks
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3106044openalex-snapshot
Activated Gradients for Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3110295openalex-snapshot
Primal–Dual Fixed Point Algorithms Based on Adapted Metric for Distributed Optimization
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3310499openalex-snapshot
QC-ODKLA: Quantized and Communication- Censored Online Decentralized Kernel Learning via Linearized ADMM
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3321915openalex-snapshot
A Generalized Nesterov-Accelerated Second-Order Latent Factor Model for High-Dimensional and Incomplete Data
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MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3604059openalex-snapshot
Nesterov Accelerated Gradient Tracking With Adam for Distributed Online Optimization
inferred← citeshttps://doi.org/10.1109/tnnls.2026.3670013openalex-snapshot
Topology-Optimal Multiple Gossip Steps for Decentralized Federated Learning via Gossip Tensor
inferred← citeshttps://doi.org/10.1109/tnse.2020.2965999openalex-snapshot
Achieving Acceleration for Distributed Economic Dispatch in Smart Grids Over Directed Networks
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GradConsensus: Linearly Convergent Algorithm for Reducing Disagreement in Multi-Agent Optimization
inferred← citeshttps://doi.org/10.1109/tnse.2024.3521587openalex-snapshot
Output Feedback-Based Continuous-Time Distributed PID Optimization Algorithms
inferred← citeshttps://doi.org/10.1109/tnse.2025.3561195openalex-snapshot
Momentum-Based Distributed Economic Dispatch of Smart Grids in Time-Varying Directed Networks
inferred← citeshttps://doi.org/10.1109/tnse.2026.3676217openalex-snapshot
Distributed Online Constrained Convex Optimization With Compressed Communication
inferred← citeshttps://doi.org/10.1109/ton.2026.3661815openalex-snapshot
Fast Decentralized Median Value Estimation
inferred← citeshttps://doi.org/10.1109/tpami.2024.3469188openalex-snapshot
Stabilizing and Accelerating Federated Learning on Heterogeneous Data With Partial Client Participation
inferred← citeshttps://doi.org/10.1109/tpami.2025.3606874openalex-snapshot
PMGT-VR: A Decentralized Proximal-Gradient Algorithmic Framework With Variance Reduction
inferred← citeshttps://doi.org/10.1109/tpwrs.2021.3058675openalex-snapshot
Distributed Generalized Nash Equilibrium Seeking for Energy Sharing Games in Prosumers
inferred← citeshttps://doi.org/10.1109/tsg.2023.3251378openalex-snapshot
Collaborative Active and Reactive Power Control of DERs for Voltage Regulation and Frequency Support by Distributed Event-Triggered Heavy Ball Method
inferred← citeshttps://doi.org/10.1109/tsg.2023.3328955openalex-snapshot
Hierarchically Distributed Energy Management in Distribution Systems: An Error-Tolerant and Asynchronous Approach
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Accelerated Dynamic Event-Triggered Algorithm for Online Power System Optimization by Using Powerball Technique
inferred← citeshttps://doi.org/10.1109/tsipn.2023.3239698openalex-snapshot
A Distributed Nesterov-Like Gradient Tracking Algorithm for Composite Constrained Optimization
inferred← citeshttps://doi.org/10.1109/tsmc.2019.2960770openalex-snapshot
A Nesterov-Like Gradient Tracking Algorithm for Distributed Optimization Over Directed Networks
inferred← citeshttps://doi.org/10.1109/tsmc.2024.3382173openalex-snapshot
Achieving Linear Convergence in Distributed Aggregative Optimization Over Directed Graphs
inferred← citeshttps://doi.org/10.1109/tsp.2020.2981762openalex-snapshot
Distributed Dual Gradient Tracking for Resource Allocation in Unbalanced Networks
inferred← citeshttps://doi.org/10.1109/tsp.2020.3018317openalex-snapshot
Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters
inferred← citeshttps://doi.org/10.1109/tsp.2020.3031071openalex-snapshot
Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence
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A Decentralized Primal-Dual Framework for Non-Convex Smooth Consensus Optimization
inferred← citeshttps://doi.org/10.1109/tsp.2023.3336175openalex-snapshot
DINE: Decentralized Inexact Newton With Exact Linear Convergence Rate
inferred← citeshttps://doi.org/10.1109/tsp.2024.3514676openalex-snapshot
A Dual Inexact Nonsmooth Newton Method for Distributed Optimization
inferred← citeshttps://doi.org/10.1109/tsp.2026.3733814openalex-snapshot
AdGT: Decentralized Gradient Tracking With Adaptive Per-Agent Stepsizes
inferred← citeshttps://doi.org/10.1137/22m148570xopenalex-snapshot
Provably Accelerated Decentralized Gradient Methods Over Unbalanced Directed Graphs
inferred← citeshttps://doi.org/10.12794/metadc1944275openalex-snapshot
Advanced Distributed Optimization and Control Algorithms: Theory and Applications
inferred← citeshttps://doi.org/10.1360/ssi-2025-0112openalex-snapshot
Distributed Nesterov-like accelerated non-convex composite optimization algorithm
inferred← citeshttps://doi.org/10.1364/prj.544076openalex-snapshot
Fourier synthetic-aperture-based time-resolved terahertz imaging
inferred← citeshttps://doi.org/10.23919/acc45564.2020.9147544openalex-snapshot
Gradient-Consensus Method for Distributed Optimization in Directed Multi-Agent Networks
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CPCA: A Chebyshev Proxy and Consensus based Algorithm for General Distributed Optimization
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Robustness and Convergence Analysis of First-Order Distributed Optimization Algorithms over Subspace Constraints
inferred← citeshttps://doi.org/10.23919/acc60939.2024.10644583openalex-snapshot
A Submodular Approach to Controlled Islanding for Multi-Agent Network Stability
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Heterogeneous Distributed Subgradient
inferred← citeshttps://doi.org/10.23919/ccc52363.2021.9549539openalex-snapshot
An Accelerated Gossip-Based Distributed Gradient Method
inferred← citeshttps://doi.org/10.23919/ccc52363.2021.9550355openalex-snapshot
An Accelerated Distributed Online Gradient Push-Sum Algorithm in Time-varying Networks
inferred← citeshttps://doi.org/10.23919/ccc55666.2022.9901596openalex-snapshot
Accelerated Distributed Composite Nesterov Gradient Descent Algorithm
inferred← citeshttps://doi.org/10.23919/ccc63176.2024.10662678openalex-snapshot
Accelerated Design for Distributed Asynchronous Optimization
inferred← citeshttps://doi.org/10.26599/bdma.2022.9020046openalex-snapshot
Elastic Optimization for Stragglers in Edge Federated Learning
inferred← citeshttps://doi.org/10.3390/coatings11070845openalex-snapshot
Application of Machine Learning to Solid Particle Erosion of APS-TBC and EB-PVD TBC at Elevated Temperatures
inferred← citeshttps://doi.org/10.3390/jmse10101376openalex-snapshot
On the Sparse Gradient Denoising Optimization of Neural Network Models for Rolling Bearing Fault Diagnosis Illustrated by a Ship Propulsion System
inferred← citeshttps://doi.org/10.3390/math10030357openalex-snapshot
A Distributed Optimization Accelerated Algorithm with Uncoordinated Time-Varying Step-Sizes in an Undirected Network
inferred← citeshttps://doi.org/10.3934/era.2024041openalex-snapshot
Linear convergence of a primal-dual algorithm for distributed interval optimization
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Using Deep Learning and Swarm Intelligence to Achieve Personalized English-Speaking Education
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Adversarial sample attack method based on loss smoothing
showing the first 186 of 187
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