101 citations · 466 across the 65 of their papers we have counts for
6 papers · 2 filters
DISROPT: a Python Framework for Distributed Optimization
Francesco Farina, Andrea Camisa, Andrea Testa +2
In this paper we introduce DISROPT, a Python package for distributed optimization over networks. We focus on cooperative set-ups in which an optimization problem must be solved by…
Subgradient averaging for multi-agent optimisation with different constraint sets
Licio Romao, Kostas Margellos, Giuseppe Notarstefano +1
We consider a multi-agent setting with agents exchanging information over a possibly time-varying network, aiming at minimising a separable objective function subject to constraint…
Tracking-ADMM for Distributed Constraint-Coupled Optimization
Alessandro Falsone, Ivano Notarnicola, Giuseppe Notarstefano +1
We consider constraint-coupled optimization problems in which agents of a network aim to cooperatively minimize the sum of local objective functions subject to individual constrain…
Randomized Constraints Consensus for Distributed Robust Mixed-Integer Programming
Mohammadreza Chamanbaz, Giuseppe Notarstefano, Francesco Sasso +1
In this paper, we consider a network of processors aiming at cooperatively solving mixed-integer convex programs subject to uncertainty. Each node only knows a common cost function…
Distributed Submodular Minimization via Block-Wise Updates and Communications
Andrea Testa, Francesco Farina, Giuseppe Notarstefano
In this paper we deal with a network of computing agents with local processing and neighboring communication capabilities that aim at solving (without any central unit) a submodula…
Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization
Francesco Farina, Giuseppe Notarstefano
In this paper we introduce a class of novel distributed algorithms for solving stochastic big-data convex optimization problems over directed graphs. In the addressed set-up, the d…