activity
20172019
most citedRandomized Constraints Consensus for Distributed Robust Mixed-Integer Programming

7 citations · 14 across the 3 of their papers we have counts for

collaborators

5 papers

math.OC2019★ 7 cited

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…

eess.SY2018

Distributed Learning from Interactions in Social Networks

Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano

We consider a network scenario in which agents can evaluate each other according to a score graph that models some interactions. The goal is to design a distributed protocol, run b…

eess.SY2018

An Empirical Bayes Approach for Distributed Estimation of Spatial Fields

Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano

In this paper we consider a network of spatially distributed sensors which collect measurement samples of a spatial field, and aim at estimating in a distributed way (without any c…

math.OC2017

Interaction-Based Distributed Learning in Cyber-Physical and Social Networks

Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano

In this paper we consider a network scenario in which agents can evaluate each other according to a score graph that models some physical or social interaction. The goal is to desi…

math.OC2017★ 7 cited

Randomized Constraints Consensus for Distributed Robust Linear Programming

Mohammadreza Chamanbaz, Giuseppe Notarstefano, Roland Bouffanais

In this paper we consider a network of processors aiming at cooperatively solving linear programming problems subject to uncertainty. Each node only knows a common cost function an…