Publications about 'Distributed Optimization'


Journal articles
  1. A. Camisa, I. Notarnicola, and G. Notarstefano. Distributed Stochastic Dual Subgradient for Constraint-Coupled Optimization. IEEE Control Systems Letters, 6:644-649, 2022. Note: [Download], [DOI: 10.1109/LCSYS.2021.3084531], [arXiv]. Keywords: Distributed Optimization.
  2. A. Camisa, F. Farina, I. Notarnicola, and G. Notarstefano. Distributed constraint-coupled optimization via primal decomposition over random time-varying graphs. Automatica, 131:109739, 2021. Note: [Download], [DOI: 10.1016/j.automatica.2021.109739], [arXiv]. Keywords: Distributed Optimization.
  3. A. Camisa, I. Notarnicola, and G. Notarstefano. Distributed primal decomposition for large-scale MILPs. IEEE Transactions on Automatic Control, 2021. Note: [Download], [DOI: 10.1109/TAC.2021.3057061], [arXiv]. Keywords: Distributed Optimization.
  4. M. Chamanbaz, G. Notarstefano, F. Sasso, and R. Bouffanais. Randomized Constraints Consensus for Distributed Robust Mixed-Integer Programming. IEEE Transactions on Control of Network Systems, 8(1):295-306, 2021. Note: [Download], [DOI: 10.1109/TCNS.2020.3024483], [arXiv]. Keywords: Distributed Optimization.
  5. F. Farina and G. Notarstefano. Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization. IEEE Transactions on Automatic Control, 66(9):4000-4014, 2021. Note: [Download], [DOI: 10.1109/TAC.2020.3027647], [arXiv]. Keywords: Distributed Optimization.
  6. I. Notarnicola, Y. Sun, G. Scutari, and G. Notarstefano. Distributed Big-Data Optimization via Block-wise Gradient Tracking. IEEE Transactions on Automatic Control, 66(5):2045-2060, 2021. Note: [Download], [DOI: 10.1109/TAC.2020.3008713], [arXiv]. Keywords: Distributed Optimization.
  7. L. Sforni, S. Spedicato, I. Notarnicola, and G. Notarstefano. GoPRONTO: a Feedback-based Framework for Nonlinear Optimal Control. 2021. Note: Submitted for journal publication, [arXiv]. Keywords: Distributed Optimization, Optimal control.
  8. G. Carnevale, F. Farina, I. Notarnicola, and G. Notarstefano. Distributed online optimization via gradient tracking with adaptive momentum. 2020. Note: Submitted for journal publication, [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  9. A. Falsone, I. Notarnicola, G. Notarstefano, and M. Prandini. Tracking-ADMM for Distributed Constraint-Coupled Optimization. Automatica, 117, 2020. Note: [Download], [DOI: 10.1016/j.automatica.2020.108962], [arXiv]. Keywords: Distributed Optimization.
  10. I. Notarnicola and G. Notarstefano. Constraint-Coupled Distributed Optimization: a Relaxation and Duality Approach. IEEE Transactions on Control of Network Systems, 7(1):483-492, 2020. Note: [Download], [DOI: 10.1109/TCNS.2019.2925267], [arXiv]. Keywords: Distributed Optimization.
  11. I. Notarnicola, A. Simonetto, F. Farina, and G. Notarstefano. Distributed personalized gradient tracking with convex parametric models. 2020. Note: Provisionally accepted for TAC, [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  12. F. Sasso, A. Coluccia, and G. Notarstefano. Interaction-Based Distributed Learning in Cyber-Physical and Social Networks. IEEE Transactions on Automatic Control, 65(1):223 - 236, 2020. Note: [Download], [DOI: 10.1109/TAC.2019.2917715], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  13. A. Testa, A. Rucco, and G. Notarstefano. Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange. IEEE Transactions on Automatic Control, 65(4):1456-1467, 2020. Note: [Download], [DOI: 1109/TAC.2019.2920812], [arXiv]. Keywords: Distributed Optimization, Optimization.
  14. N. Bof, R. Carli, G. Notarstefano, L. Schenato, and D. Varagnolo. Multiagent Newton-Raphson Optimization Over Lossy Networks. IEEE Transactions on Automatic Control, 64(7):2983-2990, 2019. Note: [Download], [DOI: 10.1109/TAC.2018.2874748], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  15. F. Farina, A. Garulli, A. Giannitrapani, and G. Notarstefano. A distributed asynchronous method of multipliers for constrained nonconvex optimization. Automatica, 103:243-253, 2019. Note: [Download], [DOI: 10.1016/j.automatica.2019.02.003], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  16. G. Notarstefano, I. Notarnicola, and A. Camisa. Distributed Optimization for Smart Cyber-Physical Networks. Foundations and Trends in Systems and Control, 7(3):253-383, 2019. Note: [Download], [DOI: 10.1561/2600000020], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning, Decision and Control.
  17. I. Notarnicola, M. Franceschelli, and G. Notarstefano. A duality-based approach for distributed min-max optimization. IEEE Transactions on Automatic Control, 64(6):2259-2566, 2018. Note: [Download], [DOI: 10.1109/TAC.2018.2872200], [arXiv]. Keywords: Distributed Optimization, Decision and Control.
  18. S. Chopra, G. Notarstefano, M. Rice, and M. Egerstedt. A Distributed Version of the Hungarian Method for Multirobot Assignment. IEEE Transactions on Robotics, 33(4):932-947, 2017. Note: [Download], [DOI: 10.1109/TRO.2017.2693377], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  19. I. Notarnicola, R. Carli, and G. Notarstefano. Distributed Partitioned Big-Data Optimization via Asynchronous Dual Decomposition. IEEE Transactions on Control of Network Systems, 5(4):1910-1919, 2017. Note: [Download], [DOI: 10.1109/TCNS.2017.2774010], [arXiv]. Keywords: Distributed Optimization, Decision and Control, Estimation and Learning.
  20. I. Notarnicola and G. Notarstefano. Asynchronous Distributed Optimization via Randomized Dual Proximal Gradient. IEEE Transactions on Automatic Control, 62(5):2095-2106, 2017. Note: [Download], [DOI: 10.1109/TAC.2016.2607023], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning, Decision and Control.
  21. A. Coluccia and G. Notarstefano. A Bayesian framework for distributed estimation of arrival rates in asynchronous networks. IEEE Transactions on Signal Processing, 64(15):3984 - 3996, 2016. Note: [Download], [DOI: 10.1109/TSP.2016.2557313], [arXiv]. Keywords: Estimation and Learning, Distributed Optimization, Robotic Networks.

Conference articles
  1. A. Camisa, P. Kohler, M. Muller, G. Notarstefano, and F. Allgower. A distributed optimization algorithm for Nash bargaining in multi-agent systems. In IFAC World Congress, volume 53, pages 2684-2689, 2020. Note: [Download], [DOI: 10.1016/j.ifacol.2020.12.402], [arXiv].
  2. F. Farina, A. Camisa, A. Testa, I. Notarnicola, and G. Notarstefano. Disropt: a Python framework for distributed optimization. In IFAC World Congress, volume 53, pages 2666-2671, 2020. Note: [Download], [DOI: 10.1016/j.ifacol.2020.12.382], [arXiv].
  3. M. Bin, I. Notarnicola, L. Marconi, and G. Notarstefano. A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization. In IEEE Conf. on Decision and Control, Nice, France, pages 2994-2999, 2019. Note: [Download], [DOI: 10.1109/CDC40024.2019.9029824], [arXiv]. Keywords: Distributed Optimization.
  4. A. Camisa, F. Farina, I. Notarnicola, and G. Notarstefano. Distributed Constraint-Coupled Optimization over Random Time-Varying Graphs via Primal Decomposition and Block Subgradient Approaches. In IEEE Conf. on Decision and Control, Nice, France, pages 6374-6379, 2019. Note: [Download], [DOI: 10.1109/CDC40024.2019.9029689], [arXiv]. Keywords: Distributed Optimization, Optimization.
  5. A. Camisa and G. Notarstefano. Primal Decomposition and Constraint Generation for Asynchronous Distributed Mixed-Integer Linear Programming. In European Control Conference, Naples, Italy, pages 77-82, 2019. Note: [Download], [DOI: 10.23919/ECC.2019.8796116], [arXiv]. Keywords: Distributed Optimization.
  6. F. Farina and G. Notarstefano. A Randomized Block Subgradient Approach to Distributed Big Data Optimization. In IEEE Conf. on Decision and Control, Nice, France, pages 6362-6367, 2019. Note: [Download], [DOI: 10.1109/CDC40024.2019.9030156], [arXiv]. [doi:10.1109/CDC40024.2019.9030156] Keywords: Distributed Optimization.
  7. L. Romao, K. Margellos, G. Notarstefano, and A. Papachristodoulou. Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets. In IEEE Conf. on Decision and Control, Nice, France, pages 7448-7453, 2019. Note: [Download], [DOI: 10.1109/CDC40024.2019.9029252], [arXiv]. Keywords: Distributed Optimization.
  8. S. Spedicato, S. Mahesh, and G. Notarstefano. A Sparse Polytopic LPV Controller for Fully-Distributed Nonlinear Optimal Control. In European Control Conference, Naples, Italy, pages 554-559, 2019. Note: [Download], [DOI: 10.23919/ECC.2019.8795807], [arXiv]. Keywords: Optimal Control, Distributed Optimization.
  9. A. Camisa, I. Notarnicola, and G. Notarstefano. A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming. In IEEE Conf. on Decision and Control, Miami, USA, pages 3391-3396, 2018. Note: [Download], [DOI: 10.1109/CDC.2018.8619597], [arXiv]. Keywords: Distributed Optimization, Optimization.
  10. F. Farina, A. Garulli, A. Giannitrapani, and G. Notarstefano. Asynchronous Distributed Method of Multipliers for Constrained Nonconvex Optimization. In European Control Conference, Limassol, Cyprus, pages 2535-2540, 2018. Note: [Download], [DOI: 10.23919/ECC.2018.8550098], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  11. F. Sasso, A. Coluccia, and G. Notarstefano. An Empirical Bayes Approach for Distributed Estimation of Spatial Fields. In European Control Conference, Limassol, Cyprus, pages 2206-2211, 2018. Note: [Download], [DOI: 10.23919/ECC.2018.8550231], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  12. F. Sasso, A. Coluccia, and G. Notarstefano. Distributed Learning from Interactions in Social Networks. In European Control Conference, Limassol, Cyprus, pages 2200-2205, 2018. Note: [Download], [DOI: 10.23919/ECC.2018.8550320], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning.
  13. S. Spedicato and G. Notarstefano. Cloud-assisted Distributed Nonlinear Optimal Control for Dynamics over Graph. In IFAC Workshop on Distributed Estimation and Control in Networked Systems, volume 51, Groningen, the Netherlands, pages 361-366, 2018. Elsevier. Note: [Download], [DOI: 10.1016/j.ifacol.2018.12.062], [arXiv]. Keywords: Distributed Optimization, Optimal control.
  14. A. Testa, I. Notarnicola, and G. Notarstefano. Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach. In IEEE Conf. on Decision and Control, Miami, USA, pages 4945-4950, 2018. Note: [Download], [DOI: 10.1109/CDC.2018.8618958], [arXiv] . Keywords: Distributed Optimization.
  15. M. Chamanbaz, G. Notarstefano, and R. Bouffanais. A Randomized Distributed Ellipsoid Algorithm for Uncertain Feasibility Problems. In IEEE Conf. on Decision and Control, Melbourne, Australia, pages 1305-1310, 2017. Note: [Download], [DOI: 10.1109/CDC.2017.8263835]. Keywords: Distributed Optimization, Robotic Networks.
  16. M. Chamanbaz, G. Notarstefano, and R. Bouffanais. Randomized Constraints Consensus for Distributed Robust Linear Programming. In IFAC World Congress, Toulouse, France, pages 4973-4978, 2017. Note: [Download], [DOI: 10.1016/j.ifacol.2017.08.763], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  17. I. Notarnicola and G. Notarstefano. A duality-based approach for distributed optimization with coupling constraints. In IFAC World Congress, Toulouse, France, pages 14326-14331, 2017. Note: [Download], [DOI: 10.1016/j.ifacol.2017.08.1874], [arXiv]. Keywords: Distributed Optimization, Decision and Control.
  18. I. Notarnicola, Y. Sun, G. Scutari, and G. Notarstefano. Distributed Big-Data Optimization Via Block Communications. In IEEE 7th International Workshop on Computational Advances in Multi- Sensor Adaptive Processing (CAMSAP), Curacao, Dutch Antilles, pages 557-561, 2017. Note: [Download], [DOI: 10.1109/CAMSAP.2017.8313176], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  19. I. Notarnicola, Y. Sun, G. Scutari, and G. Notarstefano. Distributed Big-Data Optimization Via Block-Iterative Convexification and Averaging. In IEEE Conf. on Decision and Control, Melbourne, Australia, pages 2281-2288, 2017. Note: [Download], [DOI: 10.1109/CDC.2017.8263982], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  20. A. Testa, A. Rucco, and G. Notarstefano. A Finite-Time Cutting Plane Algorithm for Distributed Mixed Integer Linear Programming. In IEEE Conf. on Decision and Control, Melbourne, Australia, pages 3847-3852, 2017. Note: [Download], [DOI: 10.1109/CDC.2017.8264225], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  21. I. Notarnicola, M. Franceschelli, and G. Notarstefano. A duality-based approach for distributed min-max optimization with application to demand side management. In IEEE Conf. on Decision and Control, Las Vegas, USA, pages 153-158, 2016. Note: [Download], [DOI: 10.1109/CDC.2016.7798538], [arXiv]. Keywords: Distributed Optimization, Decision and Control.
  22. I. Notarnicola and G. Notarstefano. A randomized primal distributed algorithm for partitioned and big-data non-convex optimization. In IEEE Conf. on Decision and Control, Las Vegas, USA, pages 1877-1882, 2016. Note: [Download], [DOI: 10.1109/CDC.2016.7798262], [arXiv]. Keywords: Distributed Optimization.
  23. R. Carli, G. Notarstefano, L. Schenato, and D. Varagnolo. Analysis of Newton-Raphson Consensus for multi-agent convex optimization under asynchronous and lossy communications. In IEEE Conf. on Decision and Control, Osaka, Japan, pages 418-424, 2015. Note: [Download], [DOI: 10.1109/CDC.2015.7402236], [arXiv]. Keywords: Distributed Optimization, Robotic Networks.
  24. I. Notarnicola and G. Notarstefano. Randomized dual proximal gradient for large-scale distributed optimization. In IEEE Conf. on Decision and Control, Osaka, Japan, pages 712-717, 2015. Note: [Download], [DOI: 10.1109/CDC.2015.7402313], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning, Decision and Control.
  25. G. Notarstefano. A core-set approach for distributed quadratic programming in big-data classification. In IEEE Conf. on Decision and Control, Osaka, Japan, pages 1372-1377, 2015. Note: [Download], [DOI: 10.1109/CDC.2015.7402402], [arXiv]. Keywords: Distributed Optimization, Estimation and Learning, Decision and Control.

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