Cover Image

On the Perturbed Projection-Based Distributed Gradient-Descent Algorithm: A Fully-Distributed Adaptive Redesign

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bazizi, Tarek, Maghenem, Mohamed, Frasca, Paolo, Lorìa, Antonio, Panteley, Elena
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SIS epidemics on open networks: A replacement-based approximation
by: Vizuete, Renato, et al.
Published: (2024)

Perturbed Gradient Descent Algorithms are Small-Disturbance Input-to-State Stable
by: Cui, Leilei, et al.
Published: (2025)

Optimal Control Synthesis of Closed-Loop Recommendation Systems over Social Networks
by: Mariano, Simone, et al.
Published: (2026)

Input-to-State Stability of a Bilevel Proximal Gradient Descent Algorithm
by: Kolmanovsky, Torbjørn Cunis Ilya
Published: (2022)

A Distributed Gradient-based Algorithm for Optimization Problems with Coupled Equality Constraints
by: Qiu, Chenyang, et al.
Published: (2025)

Inverse Optimal Cardano-Lyapunov Feedback for PDEs with Convection
by: Belhadjoudja, Mohamed Camil, et al.
Published: (2024)

Asynchronous Push-sum Dual Gradient Algorithm in Distributed Model Predictive Control
by: Wang, Pengbiao, et al.
Published: (2025)

Natural Gradient Descent for Control
by: Esmzad, Ramin, et al.
Published: (2025)

Interpretable Gradient Descent for Kalman Gain
by: Belabbas, M. A., et al.
Published: (2025)

Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem
by: Chakrabarti, Kushal, et al.
Published: (2021)

Iterative Pre-Conditioning for Expediting the Gradient-Descent Method: The Distributed Linear Least-Squares Problem
by: Chakrabarti, Kushal, et al.
Published: (2020)

A Fault-Tolerant Distributed Termination Method for Distributed Optimization Algorithms
by: Alkhraijah, Mohannad, et al.
Published: (2024)

Input-Output Stability of Gradient Descent: A Discrete-Time Passivity-Based Approach
by: Moalemi, Sepehr, et al.
Published: (2024)

A Privacy Preserving Distributed Model Identification Algorithm for Power Distribution Systems
by: Chang, Chin-Yao
Published: (2023)

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

On Convergence of the Iteratively Preconditioned Gradient-Descent (IPG) Observer
by: Chakrabarti, Kushal, et al.
Published: (2024)

Trajectory-Oriented Control Using Gradient Descent: An Unconventional Approach
by: Esmzad, Ramin, et al.
Published: (2024)

Model Predictive Path Integral Control as Preconditioned Gradient Descent
by: Fazlyab, Mahyar, et al.
Published: (2026)

Event-triggered Dual Gradient Tracking for Distributed Resource Allocation
by: Xu, Xiayan, et al.
Published: (2025)

Anytime Acceleration of Gradient Descent
by: Zhang, Zihan, et al.
Published: (2024)

Projection-based Prediction-Correction Method for Distributed Consensus Optimization
by: Long, Han
Published: (2023)

A Converse Robust-Safety Theorem for Differential Inclusions
by: Maghenem, Mohamed, et al.
Published: (2022)

Optimization-Based Control of Distributed Battery Storage in Distribution Networks
by: de Carvalho, Wilhiam, et al.
Published: (2024)

Accelerated Alternating Direction Method of Multipliers Gradient Tracking for Distributed Optimization
by: Sebastián, Eduardo, et al.
Published: (2024)

An Optimal Control Interpretation of Augmented Distributed Optimization Algorithms
by: Hallinan, Liam, et al.
Published: (2025)

Distributed and Decentralized Optimization Algorithms via Consensus ALADIN
by: Du, Xu, et al.
Published: (2026)

Mix-CALADIN: A Distributed Algorithm for Consensus Mixed-Integer Optimization
by: Han, Boyu, et al.
Published: (2026)

Analysis of Gradient Descent with Varying Step Sizes using Integral Quadratic Constraints
by: Padmanabhan, Ram, et al.
Published: (2022)

Distributed Nonconvex Optimization: Gradient-free Iterations and $ε$-Globally Optimal Solution
by: He, Zhiyu, et al.
Published: (2020)

A Mixing-Accelerated Primal-Dual Proximal Algorithm for Distributed Nonconvex Optimization
by: Ou, Zichong, et al.
Published: (2023)

Distributed Adaptive Time-Varying Optimization with Global Asymptotic Convergence
by: Jiang, Liangze, et al.
Published: (2024)

Variance-Reduced Gradient Estimator for Nonconvex Zeroth-Order Distributed Optimization
by: Mu, Huaiyi, et al.
Published: (2024)

Distributed Stochastic Proximal Algorithm on Riemannian Submanifolds for Weakly-convex Functions
by: Zhao, Jishu, et al.
Published: (2025)

A Communication-Efficient Stochastic Gradient Descent Algorithm for Distributed Nonconvex Optimization
by: Xie, Antai, et al.
Published: (2024)

Control-Based Online Distributed Optimization
by: van Weerelt, Wouter J. A., et al.
Published: (2025)

IRKA is a Riemannian Gradient Descent Method
by: Mlinarić, Petar, et al.
Published: (2023)

Equity Impacts of Public Transit Network Redesign with Shared Autonomous Mobility Services
by: Ng, Max T. M., et al.
Published: (2025)

Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services
by: Ng, Max T. M., et al.
Published: (2023)

On Linear Convergence of Distributed Stochastic Bilevel Optimization over Undirected Networks via Gradient Aggregation
by: Tak, Ajay, et al.
Published: (2025)

A Fundamental Convergence Rate Bound for Gradient Based Online Optimization Algorithms with Exact Tracking
by: Wu, Alex Xinting, et al.
Published: (2025)