Nicola Bastianello

63 papers Misc 2Journal 42Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Personalized and Resilient Distributed Learning Through Opinion Dynamics.
IEEE Trans. Control. Netw. Syst.
Luca Ballotta, Nicola Bastianello, Riccardo M. G. Ferrari, Karl Henrik Johansson
2025 J jnl
A Communication-Efficient Decentralized Actor-Critic Algorithm.
CoRR
Xiaoxing Ren, Nicola Bastianello, Thomas Parisini, Andreas A. Malikopoulos
2025 J jnl
A control theoretical approach to online constrained optimization.
Autom.
Umberto Casti, Nicola Bastianello, Ruggero Carli, Sandro Zampieri
2025 J jnl
ADMM-Tracking Gradient for Distributed Optimization Over Asynchronous and Unreliable Networks.
IEEE Trans. Autom. Control.
Guido Carnevale, Nicola Bastianello, Giuseppe Notarstefano, Ruggero Carli
2025 J jnl
Adaptive Online Optimization for Microgrids with Renewable Energy Sources.
CoRR
Wouter J. A. van Weerelt, Angela Fontan, Nicola Bastianello
2025 J jnl
Communication-Efficient Learning for Satellite Constellations.
CoRR
Ruxandra-Stefania Tudose, Moritz H. W. Grüss, Grace Ra Kim, Karl Henrik Johansson, Nicola Bastianello
2025 J jnl
Communication-Efficient Stochastic Distributed Learning.
CoRR
Xiaoxing Ren, Nicola Bastianello, Karl Henrik Johansson, Thomas Parisini
2025 — conf
Control-Based Design of Online Optimization Algorithms.
ECC
Nicola Bastianello
2025 — conf
Control-Based Online Distributed Optimization.
CDC
Wouter J. A. van Weerelt, Nicola Bastianello
2025 J jnl
Control-Based Online Distributed Optimization.
CoRR
Wouter J. A. van Weerelt, Nicola Bastianello
2025 — conf
Distributed Optimization and Learning for Automated Stepsize Selection with Finite Time Coordination.
CDC
Apostolos I. Rikos, Nicola Bastianello, Themistoklis Charalambous, Karl Henrik Johansson
2025 J jnl
Distributed Optimization and Learning for Automated Stepsize Selection with Finite Time Coordination.
CoRR
Apostolos I. Rikos, Nicola Bastianello, Themistoklis Charalambous, Karl Henrik Johansson
2025 — conf
Formal Verification of Local Robustness of a Classification Algorithm for a Spatial Use Case.
FMAS@iFM
Delphine Longuet, Amira Elouazzani, Alejandro Penacho Riveiros, Nicola Bastianello
2025 J jnl
Hierarchical Federated ADMM.
IEEE Netw. Lett.
Seyed Mohammad Azimi-Abarghouyi, Nicola Bastianello, Karl Henrik Johansson, Viktoria Fodor
2025 — conf
Jointly Computation- and Communication-Efficient Distributed Learning.
CDC
Xiaoxing Ren, Nicola Bastianello, Karl Henrik Johansson, Thomas Parisini
2025 J jnl
Jointly Computation- and Communication-Efficient Distributed Learning.
CoRR
Xiaoxing Ren, Nicola Bastianello, Karl Henrik Johansson, Thomas Parisini
2025 J jnl
Modular Distributed Nonconvex Learning With Error Feedback.
IEEE Control. Syst. Lett.
Guido Carnevale, Nicola Bastianello
2025 J jnl
Modular Distributed Nonconvex Learning with Error Feedback.
CoRR
Guido Carnevale, Nicola Bastianello
2025 J jnl
Optimization and Learning in Open Multi-Agent Systems.
CoRR
Diego Deplano, Nicola Bastianello, Mauro Franceschelli, Karl Henrik Johansson
2025 J jnl
Personalized and Resilient Distributed Learning Through Opinion Dynamics.
CoRR
Luca Ballotta, Nicola Bastianello, Riccardo M. G. Ferrari, Karl Henrik Johansson
2025 J jnl
Physics-Informed Detection of Friction Anomalies in Satellite Reaction Wheels.
CoRR
Alejandro Penacho Riveiros, Nicola Bastianello, Karl Henrik Johansson, Matthieu Barreau
2025 J jnl
Robust Online Learning Over Networks.
IEEE Trans. Autom. Control.
Nicola Bastianello, Diego Deplano, Mauro Franceschelli, Karl Henrik Johansson
2025 J jnl
Security of Distributed Gradient Descent Against Byzantine Agents.
CoRR
Sribalaji Coimbatore Anand, Nicola Bastianello
2025 J jnl
Self-Identifying Internal Model-Based Online Optimization.
CoRR
Wouter J. A. van Weerelt, Lantian Zhang, Silun Zhang, Nicola Bastianello
2025 — conf
State Estimation Using a Network of Observers: A Distributed Optimization Approach.
ECC
Guitao Yang, Xiaoxing Ren, Nicola Bastianello, Thomas Parisini
2024 J jnl
A Stochastic Operator Framework for Optimization and Learning With Sub-Weibull Errors.
IEEE Trans. Autom. Control.
Nicola Bastianello, Liam Madden, Ruggero Carli, Emiliano Dall'Anese
2024 J jnl
A survey on secure decentralized optimization and learning.
CoRR
Changxin Liu, Nicola Bastianello, Wei Huo, Yang Shi, Karl Henrik Johansson
2024 — conf
Asynchronous Distributed Learning with Quantized Finite-Time Coordination.
CDC
Nicola Bastianello, Apostolos I. Rikos, Karl Henrik Johansson
2024 J jnl
Asynchronous Distributed Learning with Quantized Finite-Time Coordination.
CoRR
Nicola Bastianello, Apostolos I. Rikos, Karl Henrik Johansson
2024 — conf
Distributed Learning by Local Training ADMM.
CDC
Xiaoxing Ren, Nicola Bastianello, Karl Henrik Johansson, Thomas Parisini
2024 — conf
Energy Reduction in Cell-Free Massive MIMO through Fine-Grained Resource Management.
EuCNC/6G Summit
Özlem Tugfe Demir, Lianet Méndez-Monsanto, Nicola Bastianello, Emma Fitzgerald, Gilles Callebaut
2024 J jnl
Energy Reduction in Cell-Free Massive MIMO through Fine-Grained Resource Management.
CoRR
Özlem Tugfe Demir, Lianet Méndez-Monsanto, Nicola Bastianello, Emma Fitzgerald, Gilles Callebaut
2024 J jnl
Enhancing Privacy in Federated Learning through Local Training.
CoRR
Nicola Bastianello, Changxin Liu, Karl Henrik Johansson
2024 J jnl
Hierarchical Federated ADMM.
CoRR
Seyed Mohammad Azimi-Abarghouyi, Nicola Bastianello, Karl Henrik Johansson, Viktoria Fodor
2024 J jnl
Internal Model-Based Online Optimization.
IEEE Trans. Autom. Control.
Nicola Bastianello, Ruggero Carli, Sandro Zampieri
2024 J jnl
Learning and Verifying Maximal Taylor-Neural Lyapunov functions.
CoRR
Matthieu Barreau, Nicola Bastianello
2024 J jnl
Multi-Agent Optimization and Learning: A Non-Expansive Operators Perspective.
CoRR
Nicola Bastianello, Luca Schenato, Ruggero Carli
2024 — conf
Real-Time Anomaly Detection and Categorization for Satellite Reaction Wheels.
ECC
Alejandro Penacho Riveiros, Yu Xing, Nicola Bastianello, Karl Henrik Johansson
2023 J jnl
A Control Theoretical Approach to Online Constrained Optimization.
CoRR
Umberto Casti, Nicola Bastianello, Ruggero Carli, Sandro Zampieri
2023 — conf
A Unified Approach to Solve the Dynamic Consensus on the Average, Maximum, and Median Values with Linear Convergence.
CDC
Diego Deplano, Nicola Bastianello, Mauro Franceschelli, Karl Henrik Johansson
2023 — conf
Distributed Consensus Optimization via ADMM-Tracking Gradient.
CDC
Guido Carnevale, Nicola Bastianello, Ruggero Carli, Giuseppe Notarstefano
2023 J jnl
Extrapolation-Based Prediction-Correction Methods for Time-varying Convex Optimization.
Signal Process.
Nicola Bastianello, Ruggero Carli, Andrea Simonetto
2023 J jnl
Online Distributed Learning over Random Networks.
CoRR
Nicola Bastianello, Diego Deplano, Mauro Franceschelli, Karl Henrik Johansson
2023 — conf
Online Distributed Learning with Quantized Finite-Time Coordination.
CDC
Nicola Bastianello, Apostolos I. Rikos, Karl Henrik Johansson
2023 J jnl
Online Distributed Learning with Quantized Finite-Time Coordination.
CoRR
Nicola Bastianello, Apostolos I. Rikos, Karl Henrik Johansson
2022 J jnl
A novel bound on the convergence rate of ADMM for distributed optimization.
Autom.
Nicola Bastianello, Luca Schenato, Ruggero Carli
2022 J jnl
Feedback-Based Optimization With Sub-Weibull Gradient Errors and Intermittent Updates.
IEEE Control. Syst. Lett.
Ana M. Ospina, Nicola Bastianello, Emiliano Dall'Anese
2022 J jnl
Internal Model-Based Online Optimization.
CoRR
Nicola Bastianello, Ruggero Carli, Sandro Zampieri
2022 — conf
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression.
L4DC
Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese
2021 J jnl
A Stochastic Operator Framework for Inexact Static and Online Optimization.
CoRR
Nicola Bastianello, Liam Madden, Ruggero Carli, Emiliano Dall'Anese
2021 J jnl
Asynchronous Distributed Optimization Over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence.
IEEE Trans. Autom. Control.
Nicola Bastianello, Ruggero Carli, Luca Schenato, Marco Todescato
2021 J jnl
Data-based Online Optimization of Networked Systems with Infrequent Feedback.
CoRR
Ana M. Ospina, Nicola Bastianello, Emiliano Dall'Anese
2021 — conf
Distributed and Inexact Proximal Gradient Method for Online Convex Optimization.
ECC
Nicola Bastianello, Emiliano Dall'Anese
2021 J jnl
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression.
CoRR
Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese
2021 — conf
tvopt: A Python Framework for Time-Varying Optimization.
CDC
Nicola Bastianello
2020 Misc conf
Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization.
ACSSC
Nicola Bastianello, Andrea Simonetto, Ruggero Carli
2020 J jnl
Prediction-Correction Splittings for Time-Varying Optimization With Intermittent Observations.
IEEE Control. Syst. Lett.
Nicola Bastianello, Andrea Simonetto, Ruggero Carli
2020 J jnl
Primal and Dual Prediction-Correction Methods for Time-Varying Convex Optimization.
CoRR
Nicola Bastianello, Andrea Simonetto, Ruggero Carli
2020 J jnl
tvopt: A Python Framework for Time-Varying Optimization.
CoRR
Nicola Bastianello
2019 — conf
Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization.
ECC
Nicola Bastianello, Andrea Simonetto, Ruggero Carli
2019 Misc conf
Prediction-correction for Nonsmooth Time-varying Optimization via Forward-backward Envelopes.
ICASSP
Nicola Bastianello, Andrea Simonetto, Ruggero Carli
2018 — conf
A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks.
CDC
Nicola Bastianello, Ruggero Carli, Luca Schenato, Marco Todescato
2018 — conf
Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: a Robust ADMM Approach.
ECC
Nicola Bastianello, Marco Todescato, Ruggero Carli, Luca Schenato