Publications about 'Estimation and Learning'


Journal articles
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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. L. Sforni, I. Notarnicola, and G. Notarstefano. Learning-driven Nonlinear Optimal Control via Gaussian Process Regression. In IEEE Conf. on Decision and Control, 2021. Note: (to appear). Keywords: Estimation and Learning, Optimal control.
  2. 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.
  3. 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.
  4. 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.
  5. 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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