Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bastianello, Nicola, Schenato, Luca, Carli, Ruggero
Format:	Preprint
Published:	2024
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

A Stochastic Operator Framework for Optimization and Learning with Sub-Weibull Errors
by: Bastianello, Nicola, et al.
Published: (2021)

A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks
by: Bastianello, Nicola, et al.
Published: (2018)

Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: a Robust ADMM Approach
by: Bastianello, Nicola, et al.
Published: (2018)

A Control Theoretical Approach to Online Constrained Optimization
by: Casti, Umberto, et al.
Published: (2023)

Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization
by: Bastianello, Nicola, et al.
Published: (2019)

Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)

Prediction-Correction for Nonsmooth Time-Varying Optimization via Forward-Backward Envelopes
by: Bastianello, Nicola, et al.
Published: (2019)

EASE: Energy-Aware Job Scheduling for Vehicular Edge Networks With Renewable Energy Resources
by: Perin, Giovanni, et al.
Published: (2021)

ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks
by: Carnevale, Guido, et al.
Published: (2023)

Optimization and Learning in Open Multi-Agent Systems
by: Deplano, Diego, et al.
Published: (2025)

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

Security of Gradient Tracking Algorithms Against Malicious Agents
by: Anand, Sribalaji C., et al.
Published: (2025)

Distributed Optimization and Learning for Automated Stepsize Selection with Finite Time Coordination
by: Rikos, Apostolos I., et al.
Published: (2025)

(Un)supervised Learning of Maximal Lyapunov Functions
by: Barreau, Matthieu, et al.
Published: (2024)

Modular Distributed Nonconvex Learning with Error Feedback
by: Carnevale, Guido, et al.
Published: (2025)

Feedback-Based Optimization with Sub-Weibull Gradient Errors and Intermittent Updates
by: Ospina, Ana M., et al.
Published: (2021)

Adaptive Online Optimization for Microgrids with Renewable Energy Sources
by: van Weerelt, Wouter J. A., et al.
Published: (2025)

Asynchronous Distributed Learning with Quantized Finite-Time Coordination
by: Bastianello, Nicola, et al.
Published: (2024)

Self-Identifying Internal Model-Based Online Optimization
by: van Weerelt, Wouter J. A., et al.
Published: (2025)

On Convergence Analysis of Network-GIANT: An approximate Hessian-based fully distributed optimization algorithm
by: Das, Souvik, et al.
Published: (2026)

Communication-Efficient Stochastic Distributed Learning
by: Ren, Xiaoxing, et al.
Published: (2025)

Jointly Computation- and Communication-Efficient Distributed Learning
by: Ren, Xiaoxing, et al.
Published: (2025)

Robust Online Learning over Networks
by: Bastianello, Nicola, et al.
Published: (2023)

Powered Descent Guidance via First-Order Optimization with Expansive Projection
by: Choi, Jiwoo, et al.
Published: (2023)

Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning
by: Tonini, Stefano, et al.
Published: (2026)

Scaling Robust Optimization for Multi-Agent Robotic Systems: A Distributed Perspective
by: Abdul, Arshiya Taj, et al.
Published: (2024)

Computation-Communication Trade-offs and Sensor Selection in Real-time Estimation for Processing Networks
by: Ballotta, Luca, et al.
Published: (2019)

Perspectives on Contractivity in Control, Optimization, and Learning
by: Davydov, Alexander, et al.
Published: (2024)

Communication-Efficient Learning for Satellite Constellations
by: Tudose, Ruxandra-Stefania, et al.
Published: (2025)

Distributed and Inexact Proximal Gradient Method for Online Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)

Autonomous Air-Ground Vehicle Operations Optimization in Hazardous Environments: A Multi-Armed Bandit Approach
by: Choi, Jimin, et al.
Published: (2025)

Distributed Quasi-Newton Method for Multi-Agent Optimization
by: Shorinwa, Ola, et al.
Published: (2024)

Zeroth-Order Feedback Optimization in Multi-Agent Systems: Tackling Coupled Constraints
by: Duan, Yingpeng, et al.
Published: (2024)

Distributed Optimization of Finite Condition Number for Laplacian Matrix in Multi-Agent Systems
by: Xu, Yicheng, et al.
Published: (2025)

Adversarially and Distributionally Robust Virtual Energy Storage Systems via the Scenario Approach
by: Pantazis, Georgios, et al.
Published: (2025)

tvopt: A Python Framework for Time-Varying Optimization
by: Bastianello, Nicola
Published: (2020)

Least-Squares Multi-Step Koopman Operator Learning for Model Predictive Control
by: Wu, Liang, et al.
Published: (2026)

Distributed Covariance Steering via Non-Convex ADMM for Large-Scale Multi-Agent Systems
by: Saravanos, Augustinos D., et al.
Published: (2026)

Submodular Multi-Agent Policy Learning for Online Distributed Task Allocation in Open Multi-Agent Systems
by: Liu, Jing, et al.
Published: (2026)

Distributed Non-Uniform Scaling Control of Multi-Agent Formation with Dynamic Agent Joining
by: He, Tao, et al.
Published: (2026)