Cover Image

On Distributed Average Consensus Algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Merched, Ricardo
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learned Finite-Time Consensus for Distributed Optimization
by: Fainman, Aaron, et al.
Published: (2024)

Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems
by: Yemini, Michal, et al.
Published: (2021)

On the Convergence of Decentralized Stochastic Gradient-Tracking with Finite-Time Consensus
by: Fainman, Aaron, et al.
Published: (2025)

Differentially Private Distributed Mismatch Tracking Algorithm for Constraint-Coupled Resource Allocation Problems
by: Wu, Wenwen, et al.
Published: (2022)

A Convergence-Guaranteed Algorithm for Stochastic Optimal Control Problems
by: Amidzadeh, Mohsen
Published: (2026)

Joint Sampling Frequency Offset Estimation and Compensation Algorithms Based on the Farrow Structure
by: Linares, Deijany Rodriguez, et al.
Published: (2026)

A Unified Theoretic and Algorithmic Framework for Solving Multivariate Linear Model with $\ell^1$-norm Approximation
by: Feng, Zhi-Qiang, et al.
Published: (2025)

Distributionally Robust Power Policies for Wireless Systems under Power Fluctuation Risk
by: Yaylali, Gokberk, et al.
Published: (2024)

Log-Scale Quantization in Distributed First-Order Methods: Gradient-based Learning from Distributed Data
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Fully Distributed and Quantized Algorithm for MPC-based Autonomous Vehicle Platooning Optimization
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Distributionally Robust Kalman Filtering over Finite and Infinite Horizon
by: Kargin, Taylan, et al.
Published: (2024)

Delay-Tolerant Augmented-Consensus-based Distributed Directed Optimization
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM
by: Noah, Yoav, et al.
Published: (2023)

Algorithms for Nonlinear Mixed-Integer Location Estimation
by: Uziel, Ophir, et al.
Published: (2025)

Convolutional Proximal Neural Networks and Plug-and-Play Algorithms
by: Hertrich, Johannes, et al.
Published: (2020)

Survey of Distributed Algorithms for Resource Allocation over Multi-Agent Systems
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Accelerated Distributed Allocation
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Towards Off-the-grid Algorithms for Total Variation Regularized Inverse Problems
by: de Castro, Yohann, et al.
Published: (2021)

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Maxmin Dispersion and MIMO Applications
by: Kume, Keita, et al.
Published: (2025)

Data-Driven Two-Stage IRS-Aided Sumrate Maximization with Inexact Precoding
by: Hashmi, Hassaan, et al.
Published: (2025)

Minimization of Nonsmooth Weakly Convex Function over Prox-regular Set for Robust Low-rank Matrix Recovery
by: Kume, Keita, et al.
Published: (2025)

A Robust EDM Optimization Approach for 3D Single-Source Localization with Angle and Range Measurements
by: Zhao, Mingyu, et al.
Published: (2025)

HBNET-GIANT: A communication-efficient accelerated Newton-type fully distributed optimization algorithm
by: Das, Souvik, et al.
Published: (2025)

CISSIR: Beam Codebooks with Self-Interference Reduction Guarantees for Integrated Sensing and Communication Beyond 5G
by: Hernangómez, Rodrigo, et al.
Published: (2025)

Autoregressive Stochastic Clock Jitter Compensation in Analog-to-Digital Converters
by: Gerosa, Daniele, et al.
Published: (2025)

Pinching Antenna-enabled ISAC Systems: Exploiting Look-Angle Dependence of RCS for Target Diversity
by: Khalili, Ata, et al.
Published: (2025)

Coordinated Decentralized Resource Optimization for Cell-Free ISAC Systems
by: Zafari, Mehdi, et al.
Published: (2025)

Graph-Aware Learning Rates for Decentralized Optimization
by: Fainman, Aaron, et al.
Published: (2025)

Signal and Image Recovery with Scale and Signed Permutation Invariant Sparsity-Promoting Functions
by: Jia, Jianqing, et al.
Published: (2025)

An LiGME Regularizer of Designated Isolated Minimizers -- An Application to Discrete-Valued Signal Estimation
by: Shoji, Satoshi, et al.
Published: (2025)

Sparse Regularization by Smooth Non-separable Non-convex Penalty Function Based on Ultra-discretization Formula
by: Akaishi, Natsuki, et al.
Published: (2025)

Joint Power Allocation and Reflecting-Element Activation for Energy Efficiency Maximization in IRS-Aided Communications Under CSI Uncertainty
by: Efrem, Christos N., et al.
Published: (2025)

Constrained Stochastic Recursive Momentum Successive Convex Approximation
by: Idrees, Basil M., et al.
Published: (2024)

Convex Estimation of Sparse-Smooth Power Spectral Densities from Mixtures of Realizations with Application to Weather Radar
by: Kuroda, Hiroki, et al.
Published: (2023)

Anchored Spectral Estimator for Rigid Motion Synchronization
by: Zhao, Ziyue, et al.
Published: (2026)

Mathematical Optimization-Based Period Estimation with Outliers and Missing Observations
by: Puech, Romain, et al.
Published: (2024)

Extreme Point Pursuit -- Part I: A Framework for Constant Modulus Optimization
by: Liu, Junbin, et al.
Published: (2024)

Appointment scheduling model in healthcare using clustering algorithms
by: Yousefi, Niloofar, et al.
Published: (2019)

Notch Filters without Transient Effects: A Constrained Optimization Design
by: Sameni, Reza
Published: (2024)

Efficient Constrained Signal Reconstruction by Randomized Epigraphical Projection
by: Ono, Shunsuke
Published: (2018)