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20062026
most citedDistributed Optimization for Smart Cyber-Physical Networks

101 citations · 466 across the 65 of their papers we have counts for

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Showing 2020 · math.OCShow all

6 papers · 2 filters

math.OC2020

Distributed Constraint-Coupled Optimization via Primal Decomposition over Random Time-Varying Graphs

Andrea Camisa, Francesco Farina, Ivano Notarnicola +1

The paper addresses large-scale, convex optimization problems that need to be solved in a distributed way by agents communicating according to a random time-varying graph. Specific…

math.OC2020

Distributed Primal Decomposition for Large-Scale MILPs

Andrea Camisa, Ivano Notarnicola, Giuseppe Notarstefano

This paper deals with a distributed Mixed-Integer Linear Programming (MILP) set-up arising in several control applications. Agents of a network aim to minimize the sum of local lin…

math.OC2020★ 1 cited

GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization

Guido Carnevale, Francesco Farina, Ivano Notarnicola +1

This paper deals with a network of computing agents aiming to solve an online optimization problem in a distributed fashion, i.e., by means of local computation and communication,…

math.OC2020

Generalized Assignment for Multi-Robot Systems via Distributed Branch-And-Price

Andrea Testa, Giuseppe Notarstefano

In this paper, we consider a network of agents that has to self-assign a set of tasks while respecting resource constraints. One possible formulation is the Generalized Assignment…

math.OC2020

On the Linear Convergence Rate of the Distributed Block Proximal Method

Francesco Farina, Giuseppe Notarstefano

The recently developed Distributed Block Proximal Method, for solving stochastic big-data convex optimization problems, is studied in this paper under the assumption of constant st…

math.OC2020

A Sparse Polytopic LPV Controller for Fully-Distributed Nonlinear Optimal Control

Sara Spedicato, Sarnavi Mahesh, Giuseppe Notarstefano

In this paper we deal with distributed optimal control for nonlinear dynamical systems over graph, that is large-scale systems in which the dynamics of each subsystem depends on ne…