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2020 – today
- 2026
[j15]Diego Deplano
, Nicola Bastianello, Mauro Franceschelli, Karl Henrik Johansson:
Composite Optimization in Open Multi-Agent Systems Under Additive Errors. IEEE Control. Syst. Lett. 10: 709-714 (2026)- [j14]Diego Deplano, Nicola Bastianello, Mauro Franceschelli, Karl Henrik Johansson:
Optimization and Learning in Open Multiagent Systems. IEEE Trans. Autom. Control. 71(6): 3864-3879 (2026) - [j13]Luca Ballotta, Nicola Bastianello, Riccardo M. G. Ferrari, Karl Henrik Johansson:
Personalized and Resilient Distributed Learning Through Opinion Dynamics. IEEE Trans. Control. Netw. Syst. 13(1): 554-566 (2026) - [i35]Xiaoxing Ren, Yuwen Ma, Nicola Bastianello, Karl Henrik Johansson, Thomas Parisini, Andreas A. Malikopoulos:
Communication-Efficient Distributed Learning with Differential Privacy. CoRR abs/2604.02558 (2026) - [i34]Ruixuan Zhao, Guitao Yang, Nicola Bastianello, Boli Chen:
Distributed State Estimation for Discrete-Time Systems With Unknown Inputs: An Optimization Approach. CoRR abs/2604.11588 (2026) - [i33]Alejandro Penacho Riveiros, Nicola Bastianello, Matthieu Barreau:
Model-free Anomaly Detection for Dynamical Systems with Gaussian Processes. CoRR abs/2604.11629 (2026) - [i32]Alejandro Penacho Riveiros, Matthieu Barreau, Nicola Bastianello:
Detectability of Subtle Anomalies in Dynamical Systems via Log-Likelihood Ratio. CoRR abs/2604.11631 (2026) - [i31]Nicola De Carli, Nicola Bastianello, Dimos V. Dimarogonas:
ADMM-Based Distributed Kalman-like Observer with Applications to Cooperative Localization. CoRR abs/2604.21608 (2026) - [i30]Stefano Tonini, Soroush Rastegarpour, Hamid Reza Feyzmahdavian, Nicola Bastianello, Karl Henrik Johansson:
Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning. CoRR abs/2605.09772 (2026) - 2025
- [j12]Umberto Casti, Nicola Bastianello, Ruggero Carli, Sandro Zampieri:
A control theoretical approach to online constrained optimization. Autom. 176: 112107 (2025) - [j11]Guido Carnevale, Nicola Bastianello:
Modular Distributed Nonconvex Learning With Error Feedback. IEEE Control. Syst. Lett. 9: 1604-1609 (2025) - [j10]Seyed Mohammad Azimi-Abarghouyi, Nicola Bastianello, Karl Henrik Johansson, Viktoria Fodor:
Hierarchical Federated ADMM. IEEE Netw. Lett. 7(1): 11-15 (2025) - [j9]Nicola Bastianello, Diego Deplano, Mauro Franceschelli, Karl Henrik Johansson:
Robust Online Learning Over Networks. IEEE Trans. Autom. Control. 70(2): 933-946 (2025) - [j8]Guido Carnevale, Nicola Bastianello, Giuseppe Notarstefano, Ruggero Carli:
ADMM-Tracking Gradient for Distributed Optimization Over Asynchronous and Unreliable Networks. IEEE Trans. Autom. Control. 70(8): 5160-5175 (2025) - [c21]Wouter J. A. van Weerelt, Nicola Bastianello:
Control-Based Online Distributed Optimization. CDC 2025: 1532-1537 - [c20]Apostolos I. Rikos, Nicola Bastianello, Themistoklis Charalambous, Karl Henrik Johansson:
Distributed Optimization and Learning for Automated Stepsize Selection with Finite Time Coordination. CDC 2025: 4389-4395 - [c19]Xiaoxing Ren, Nicola Bastianello, Karl Henrik Johansson, Thomas Parisini:
Jointly Computation- and Communication-Efficient Distributed Learning. CDC 2025: 6798-6803 - [c18]Nicola Bastianello:
Control-Based Design of Online Optimization Algorithms. ECC 2025: 1916 - [c17]Guitao Yang, Xiaoxing Ren, Nicola Bastianello, Thomas Parisini:
State Estimation Using a Network of Observers: A Distributed Optimization Approach. ECC 2025: 3151-3157 - [c16]Delphine Longuet, Amira Elouazzani, Alejandro Penacho Riveiros, Nicola Bastianello:
Formal Verification of Local Robustness of a Classification Algorithm for a Spatial Use Case. FMAS@iFM 2025: 15-30 - [i29]Xiaoxing Ren, Nicola Bastianello, Karl Henrik Johansson, Thomas Parisini:
Communication-Efficient Stochastic Distributed Learning. CoRR abs/2501.13516 (2025) - [i28]Diego Deplano, Nicola Bastianello, Mauro Franceschelli, Karl Henrik Johansson:
Optimization and Learning in Open Multi-Agent Systems. CoRR abs/2501.16847 (2025) - [i27]Guido Carnevale, Nicola Bastianello:
Modular Distributed Nonconvex Learning with Error Feedback. CoRR abs/2503.14055 (2025) - [i26]Luca Ballotta, Nicola Bastianello, Riccardo M. G. Ferrari, Karl Henrik Johansson:
Personalized and Resilient Distributed Learning Through Opinion Dynamics. CoRR abs/2505.14081 (2025) - [i25]Sribalaji Coimbatore Anand, Nicola Bastianello:
Security of Distributed Gradient Descent Against Byzantine Agents. CoRR abs/2505.14473 (2025) - [i24]Apostolos I. Rikos, Nicola Bastianello, Themistoklis Charalambous, Karl Henrik Johansson:
Distributed Optimization and Learning for Automated Stepsize Selection with Finite Time Coordination. CoRR abs/2508.05887 (2025) - [i23]Wouter J. A. van Weerelt, Nicola Bastianello:
Control-Based Online Distributed Optimization. CoRR abs/2508.15498 (2025) - [i22]Xiaoxing Ren, Nicola Bastianello, Karl Henrik Johansson, Thomas Parisini:
Jointly Computation- and Communication-Efficient Distributed Learning. CoRR abs/2508.15509 (2025) - [i21]Alejandro Penacho Riveiros, Nicola Bastianello, Karl Henrik Johansson, Matthieu Barreau:
Physics-Informed Detection of Friction Anomalies in Satellite Reaction Wheels. CoRR abs/2509.04060 (2025) - [i20]Xiaoxing Ren, Nicola Bastianello, Thomas Parisini, Andreas A. Malikopoulos:
A Communication-Efficient Decentralized Actor-Critic Algorithm. CoRR abs/2510.19199 (2025) - [i19]Ruxandra-Stefania Tudose, Moritz H. W. Grüss, Grace Ra Kim, Karl Henrik Johansson, Nicola Bastianello:
Communication-Efficient Learning for Satellite Constellations. CoRR abs/2511.20220 (2025) - [i18]Wouter J. A. van Weerelt, Lantian Zhang, Silun Zhang, Nicola Bastianello:
Self-Identifying Internal Model-Based Online Optimization. CoRR abs/2511.20411 (2025) - [i17]Wouter J. A. van Weerelt, Angela Fontan, Nicola Bastianello:
Adaptive Online Optimization for Microgrids with Renewable Energy Sources. CoRR abs/2512.04778 (2025) - 2024
- [j7]Nicola Bastianello, Ruggero Carli, Sandro Zampieri:
Internal Model-Based Online Optimization. IEEE Trans. Autom. Control. 69(1): 689-696 (2024) - [j6]Nicola Bastianello, Liam Madden, Ruggero Carli, Emiliano Dall'Anese:
A Stochastic Operator Framework for Optimization and Learning With Sub-Weibull Errors. IEEE Trans. Autom. Control. 69(12): 8722-8737 (2024) - [c15]Nicola Bastianello, Apostolos I. Rikos, Karl Henrik Johansson:
Asynchronous Distributed Learning with Quantized Finite-Time Coordination. CDC 2024: 6081-6088 - [c14]Xiaoxing Ren, Nicola Bastianello, Karl Henrik Johansson, Thomas Parisini:
Distributed Learning by Local Training ADMM. CDC 2024: 7124-7129 - [c13]Alejandro Penacho Riveiros, Yu Xing, Nicola Bastianello, Karl Henrik Johansson:
Real-Time Anomaly Detection and Categorization for Satellite Reaction Wheels. ECC 2024: 253-260 - [c12]Özlem Tugfe Demir, Lianet Méndez-Monsanto, Nicola Bastianello, Emma Fitzgerald, Gilles Callebaut:
Energy Reduction in Cell-Free Massive MIMO through Fine-Grained Resource Management. EuCNC/6G Summit 2024: 547-552 - [i16]Nicola Bastianello, Changxin Liu, Karl Henrik Johansson:
Enhancing Privacy in Federated Learning through Local Training. CoRR abs/2403.17572 (2024) - [i15]Özlem Tugfe Demir, Lianet Méndez-Monsanto, Nicola Bastianello, Emma Fitzgerald, Gilles Callebaut:
Energy Reduction in Cell-Free Massive MIMO through Fine-Grained Resource Management. CoRR abs/2405.07013 (2024) - [i14]Nicola Bastianello, Luca Schenato, Ruggero Carli:
Multi-Agent Optimization and Learning: A Non-Expansive Operators Perspective. CoRR abs/2405.11999 (2024) - [i13]Changxin Liu, Nicola Bastianello, Wei Huo, Yang Shi, Karl Henrik Johansson:
A survey on secure decentralized optimization and learning. CoRR abs/2408.08628 (2024) - [i12]Nicola Bastianello, Apostolos I. Rikos, Karl Henrik Johansson:
Asynchronous Distributed Learning with Quantized Finite-Time Coordination. CoRR abs/2408.17156 (2024) - [i11]Matthieu Barreau, Nicola Bastianello:
Learning and Verifying Maximal Taylor-Neural Lyapunov functions. CoRR abs/2408.17246 (2024) - [i10]Seyed Mohammad Azimi-Abarghouyi, Nicola Bastianello, Karl Henrik Johansson, Viktoria Fodor:
Hierarchical Federated ADMM. CoRR abs/2409.18796 (2024) - 2023
- [j5]Nicola Bastianello, Ruggero Carli, Andrea Simonetto:
Extrapolation-Based Prediction-Correction Methods for Time-varying Convex Optimization. Signal Process. 210: 109089 (2023) - [c11]Guido Carnevale, Nicola Bastianello, Ruggero Carli, Giuseppe Notarstefano:
Distributed Consensus Optimization via ADMM-Tracking Gradient. CDC 2023: 290-295 - [c10]Nicola Bastianello, Apostolos I. Rikos, Karl Henrik Johansson:
Online Distributed Learning with Quantized Finite-Time Coordination. CDC 2023: 5026-5032 - [c9]Diego Deplano, Nicola Bastianello, Mauro Franceschelli, Karl Henrik Johansson:
A Unified Approach to Solve the Dynamic Consensus on the Average, Maximum, and Median Values with Linear Convergence. CDC 2023: 6442-6448 - [i9]Nicola Bastianello, Apostolos I. Rikos, Karl Henrik Johansson:
Online Distributed Learning with Quantized Finite-Time Coordination. CoRR abs/2307.06620 (2023) - [i8]Nicola Bastianello, Diego Deplano, Mauro Franceschelli, Karl Henrik Johansson:
Online Distributed Learning over Random Networks. CoRR abs/2309.00520 (2023) - [i7]Umberto Casti, Nicola Bastianello, Ruggero Carli, Sandro Zampieri:
A Control Theoretical Approach to Online Constrained Optimization. CoRR abs/2309.15498 (2023) - 2022
- [j4]Nicola Bastianello, Luca Schenato, Ruggero Carli:
A novel bound on the convergence rate of ADMM for distributed optimization. Autom. 142: 110403 (2022) - [j3]Ana M. Ospina, Nicola Bastianello, Emiliano Dall'Anese:
Feedback-Based Optimization With Sub-Weibull Gradient Errors and Intermittent Updates. IEEE Control. Syst. Lett. 6: 2521-2526 (2022) - [c8]Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese:
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression. L4DC 2022: 138-152 - [i6]Nicola Bastianello, Ruggero Carli, Sandro Zampieri:
Internal Model-Based Online Optimization. CoRR abs/2205.13932 (2022) - 2021
- [j2]Nicola Bastianello, Ruggero Carli, Luca Schenato, Marco Todescato:
Asynchronous Distributed Optimization Over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence. IEEE Trans. Autom. Control. 66(6): 2620-2635 (2021) - [c7]Nicola Bastianello:
tvopt: A Python Framework for Time-Varying Optimization. CDC 2021: 227-232 - [c6]Nicola Bastianello, Emiliano Dall'Anese:
Distributed and Inexact Proximal Gradient Method for Online Convex Optimization. ECC 2021: 2432-2437 - [i5]Nicola Bastianello, Liam Madden, Ruggero Carli, Emiliano Dall'Anese:
A Stochastic Operator Framework for Inexact Static and Online Optimization. CoRR abs/2105.09884 (2021) - [i4]Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese:
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression. CoRR abs/2105.13271 (2021) - [i3]Ana M. Ospina, Nicola Bastianello, Emiliano Dall'Anese:
Data-based Online Optimization of Networked Systems with Infrequent Feedback. CoRR abs/2109.06343 (2021) - 2020
- [j1]Nicola Bastianello, Andrea Simonetto, Ruggero Carli:
Prediction-Correction Splittings for Time-Varying Optimization With Intermittent Observations. IEEE Control. Syst. Lett. 4(2): 373-378 (2020) - [c5]Nicola Bastianello, Andrea Simonetto, Ruggero Carli:
Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization. ACSSC 2020: 47-52 - [i2]Nicola Bastianello, Andrea Simonetto, Ruggero Carli:
Primal and Dual Prediction-Correction Methods for Time-Varying Convex Optimization. CoRR abs/2004.11709 (2020) - [i1]Nicola Bastianello:
tvopt: A Python Framework for Time-Varying Optimization. CoRR abs/2011.07119 (2020)
2010 – 2019
- 2019
- [c4]Nicola Bastianello, Andrea Simonetto, Ruggero Carli:
Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization. ECC 2019: 1963-1968 - [c3]Nicola Bastianello, Andrea Simonetto, Ruggero Carli:
Prediction-correction for Nonsmooth Time-varying Optimization via Forward-backward Envelopes. ICASSP 2019: 5581-5585 - 2018
- [c2]Nicola Bastianello, Ruggero Carli, Luca Schenato, Marco Todescato:
A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks. CDC 2018: 3379-3384 - [c1]Nicola Bastianello, Marco Todescato, Ruggero Carli, Luca Schenato:
Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: a Robust ADMM Approach. ECC 2018: 477-482
Coauthor Index
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last updated on 2026-07-19 01:55 CEST by the dblp team
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