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Distributed Optimization Methods for Smart Cyber-Physical Networks

Total Cost €


EC-Contrib. €






Project "OPT4SMART" data sheet

The following table provides information about the project.


Organization address
city: LECCE
postcode: 73100

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website
 Total cost 1˙488˙750 €
 EC max contribution 1˙488˙750 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-STG
 Funding Scheme ERC-STG
 Starting year 2015
 Duration (year-month-day) from 2015-10-01   to  2020-09-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEL SALENTO IT (LECCE) coordinator 1˙488˙750.00


 Project objective

The combination of embedded electronics and communication capability in almost any mobile or portable device has turned this century into the age of cyber-physical networks. Smart communicating devices with their sensing, computing and control capabilities promise to make our cities, transportation systems, factories and living environments more intelligent, energy-efficient, safe and secure. This extremely complex system has raised a number of new challenges involving ICT disciplines. In particular, a novel peer-to-peer distributed computational model is appearing as a new opportunity in which a service is built-up cooperatively by peers, rather than by a unique provider that knows and owns all data. The interdisciplinary “Optimization Community” is facing this revolution sharing a common need: to find new theories, methodologies and tools to optimize over this complex network system. With this in mind, OPT4SMART has a twofold objective. First, to provide a comprehensive theoretical framework to solve distributed optimization problems over peer-to-peer networks. Second, to develop effective numerical tools, based on this framework, to solve estimation, learning, decision and control problems in cyber-physical networks. To achieve this twofold objective, we will take a systems-theory perspective. Specific problems from these four areas will be abstracted to a common mathematical set-up, and addressed by means of interdisciplinary methodologies arising from a synergic combination of optimization, controls, and graph theories. In particular, OPT4SMART will face the challenge of solving optimization problems under severe communication limitations, very-large-scale problem and data size, and real-time computational constraints. The expected result will be a combination of strong theoretical methods and effective numerical toolboxes available to people in Engineering, Computer Science, Mathematics and other areas, who are facing optimization in cyber-physical networks.


year authors and title journal last update
List of publications.
2019 Andrea Testa, Alessandro Rucco, Giuseppe Notarstefano
Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange
published pages: 1-1, ISSN: 0018-9286, DOI: 10.1109/tac.2019.2920812
IEEE Transactions on Automatic Control 2020-04-01
2019 Andrea Camisa, Giuseppe Notarstefano
A Distributed Primal Decomposition Scheme for Nonconvex Optimization
published pages: 315-320, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2019.12.174
IFAC-PapersOnLine 52/20 2020-04-01
2018 Sara Spedicato, Giuseppe Notarstefano
Cloud-assisted Distributed Nonlinear Optimal Control for Dynamics over Graph
published pages: 361-366, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.12.062
IFAC-PapersOnLine 51/23 2020-04-01
2016 Ivano Notarnicola, Mauro Franceschelli, Giuseppe Notarstefano
A duality-based approach for distributed min-max optimization
published pages: , ISSN: , DOI:
Submitted to journal 2020-04-01
2018 Nicoletta Bof, Ruggero Carli, Giuseppe Notarstefano, Luca Schenato, Damiano Varagnolo
Newton-Raphson Consensus under asynchronous and lossy communications for peer-to-peer networks
published pages: , ISSN: , DOI:
IEEE Transactions on Automatic Control - Provisionally Accepted as Technical Note 2020-04-01
2016 Ivano Notarnicola and Giuseppe Notarstefano
Asynchronous Distributed Optimization via Randomized Dual Proximal Gradient
published pages: , ISSN: 0018-9286, DOI: 10.1109/TAC.2016.2607023
IEEE Transactions on Automatic Control 2020-04-01
2016 Angelo Coluccia, Giuseppe Notarstefano
A Bayesian Framework for Distributed Estimation of Arrival Rates in Asynchronous Networks
published pages: 3984-3996, ISSN: 1053-587X, DOI: 10.1109/TSP.2016.2557313
IEEE Transactions on Signal Processing 64/15 2020-04-01
2017 Smriti Chopra, Giuseppe Notarstefano, Matthew Rice, Magnus Egerstedt
A Distributed Version of the Hungarian Method for Multirobot Assignment
published pages: 932-947, ISSN: 1552-3098, DOI: 10.1109/TRO.2017.2693377
IEEE Transactions on Robotics 33/4 2020-04-01
2017 Ivano Notarnicola, Ruggero Carli, Giuseppe Notarstefano
Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition
published pages: 1-1, ISSN: 2325-5870, DOI: 10.1109/TCNS.2017.2774010
IEEE Transactions on Control of Network Systems 2020-04-01
2018 Andrea Testa, Alessandro Rucco, Giuseppe Notarstefano
Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange
published pages: , ISSN: , DOI:
Submitted to journal 2020-04-01
2018 Francesco Farina, Andrea Garulli, Antonio Giannitrapani, Giuseppe Notarstefano
Asynchronous Distributed Method of Multipliers for Constrained Nonconvex Optimization
published pages: , ISSN: , DOI:
2018 European Control Conference (ECC) - TO APPEAR 2020-04-01
2017 Sara Spedicato, Giuseppe Notarstefano
Minimum-Time Trajectory Generation for Quadrotors in Constrained Environments
published pages: 1-10;, ISSN: 1063-6536, DOI: 10.1109/TCST.2017.2709268
IEEE Transactions on Control Systems Technology 2020-04-01
2017 Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano
Interaction-Based Distributed Learning in Cyber-Physical and Social Networks
published pages: , ISSN: , DOI:
Submitted to journal 2020-04-01
2018 Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano
Distributed Learning from Interactions in Social Networks
published pages: , ISSN: , DOI:
2018 European Control Conference (ECC) - TO APPEAR 2020-04-01
2018 Francesco Sasso, Angelo Coluccia, Giuseppe Notarstefano
An Empirical Bayes Approach for Distributed Estimation of Spatial Fields
published pages: , ISSN: , DOI:
2018 European Control Conference (ECC) - TO APPEAR 2020-04-01
2017 Mohammadreza Chamanbaz, Giuseppe Notarstefano, Roland Bouffanais
Randomized Constraints Consensus for Distributed Robust Linear Programming * *This work is supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme, grant agreement No 638992 - OPT4SMART, (GN) and by a grant from the Singapore National Research Foundation (NRF) under the ASPIRE project, grant No NCR-NCR001-040 (MC&RB).
published pages: 4973-4978, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2017.08.763
IFAC-PapersOnLine 50/1 2020-04-01
2017 Ivano Notarnicola, Giuseppe Notarstefano
A Duality-Based Approach for Distributed Optimization with Coupling Constraints
published pages: 14326-14331, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2017.08.1874
IFAC-PapersOnLine 50/1 2020-04-01
2017 Sara Spedicato, Giuseppe Notarstefano
An optimal control approach to the design of periodic orbits for mechanical systems with impacts
published pages: 111-121, ISSN: 1751-570X, DOI: 10.1016/j.nahs.2016.08.009
Nonlinear Analysis: Hybrid Systems 23 2020-04-01

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