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Nicola Bastianello
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2020 – today
- 2024
- [j6]Nicola Bastianello
, Ruggero Carli
Internal Model-Based Online Optimization. IEEE Trans. Autom. Control. 69(1): 689-696 (2024) - [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
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
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
A novel bound on the convergence rate of ADMM for distributed optimization. Autom. 142: 110403 (2022) - [j3]Ana M. Ospina
Feedback-Based Optimization With Sub-Weibull Gradient Errors and Intermittent Updates. IEEE Control. Syst. Lett. 6: 2521-2526 (2022) - [c8]Nicola Bastianello
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression. L4DC 2022: 138-152 - [i6]Nicola Bastianello
Internal Model-Based Online Optimization. CoRR abs/2205.13932 (2022) - 2021
- [j2]Nicola Bastianello
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
Distributed and Inexact Proximal Gradient Method for Online Convex Optimization. ECC 2021: 2432-2437 - [i5]Nicola Bastianello
A Stochastic Operator Framework for Inexact Static and Online Optimization. CoRR abs/2105.09884 (2021) - [i4]Nicola Bastianello
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
Prediction-Correction Splittings for Time-Varying Optimization With Intermittent Observations. IEEE Control. Syst. Lett. 4(2): 373-378 (2020) - [c5]Nicola Bastianello
Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization. ACSSC 2020: 47-52 - [i2]Nicola Bastianello
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
Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization. ECC 2019: 1963-1968 - [c3]Nicola Bastianello
Prediction-correction for Nonsmooth Time-varying Optimization via Forward-backward Envelopes. ICASSP 2019: 5581-5585 - 2018
- [c2]Nicola Bastianello
A Partition-Based Implementation of the Relaxed ADMM for Distributed Convex Optimization over Lossy Networks. CDC 2018: 3379-3384 - [c1]Nicola Bastianello
Distributed Optimization over Lossy Networks via Relaxed Peaceman-Rachford Splitting: a Robust ADMM Approach. ECC 2018: 477-482
Coauthor Index
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