Publications of year 2024
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Publications of year 2024
Articles in journal, book chapters
  1. Antonio Furchi, Martina Lippi, Alessandro Marino, and Andrea Gasparri. A distributed protocol for finite-time supremum or infimum dynamic consensus: The directed graph case. Systems & Control Letters, 186:105754, 2024. ISSN: 0167-6911. [WWW] [doi:https://doi.org/10.1016/j.sysconle.2024.105754] Keyword(s): Dynamic consensus, Supremum and infimum tracking, Finite-time convergence, Directed communication, Distributed control. 
    @article{Gasparri:SCL:2024,
title = {A distributed protocol for finite-time supremum or infimum dynamic consensus: The directed graph case},
journal = {Systems {\&} Control Letters},
volume = {186},
pages = {105754},
year = {2024},
issn = {0167-6911},
doi = {https://doi.org/10.1016/j.sysconle.2024.105754},
url = {https://www.sciencedirect.com/science/article/pii/S0167691124000422},
author = {Antonio Furch{\`i} and Martina Lippi and Alessandro Marino and Andrea Gasparri},
keywords = {Dynamic consensus, Supremum and infimum tracking, Finite-time convergence, Directed communication, Distributed control},

}


  2. Mojtaba Kaheni, Martina Lippi, Andrea Gasparri, and Mauro Franceschelli. Selective Trimmed Average: A Resilient Federated Learning Algorithm With Deterministic Guarantees on the Optimality Approximation. IEEE Transactions on Cybernetics, 54(8):4402-4415, 2024. [doi:10.1109/TCYB.2024.3350387] Keyword(s): Servers, Training, Computational modeling, Stochastic processes, Data models, Optimization, Memory architecture, Adversarial attacks, distributed optimization, multiagent systems, resilient federated learning (FL). 
    @ARTICLE{Gasparri:TCYB:2024,
author={Kaheni, Mojtaba and Lippi, Martina and Gasparri, Andrea and Franceschelli, Mauro},
journal={IEEE Transactions on Cybernetics},
title={Selective Trimmed Average: A Resilient Federated Learning Algorithm With Deterministic Guarantees on the Optimality Approximation},
year={2024},
volume={54},
number={8},
pages={4402-4415},
keywords={Servers;Training;Computational modeling;Stochastic processes;Data models;Optimization;Memory architecture;Adversarial attacks;distributed optimization;multiagent systems;resilient federated learning (FL)},
doi={10.1109/TCYB.2024.3350387}
}


  3. Martina Lippi, Matteo Santilli, Renzo Fabrizio Carpio, Jacopo Maiolini, Emanuele Garone, Valerio Cristofori, and Andrea Gasparri. An autonomous spraying robot architecture for sucker management in large-scale hazelnut orchards. Journal of Field Robotics, 41(7):2114-2132, 2024. [WWW] [doi:https://doi.org/10.1002/rob.22217] Keyword(s): agricultural robotics, precision farming, sucker management. 
    @article{Gasparri:JFR:2025,
author = {Lippi, Martina and Santilli, Matteo and Carpio, Renzo Fabrizio and Maiolini, Jacopo and Garone, Emanuele and Cristofori, Valerio and Gasparri, Andrea},
title = {An autonomous spraying robot architecture for sucker management in large-scale hazelnut orchards},
journal = {Journal of Field Robotics},
volume = {41},
number = {7},
pages = {2114-2132},
keywords = {agricultural robotics, precision farming, sucker management},
doi = {https://doi.org/10.1002/rob.22217},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/rob.22217},
year = {2024} 
}


  4. Gabriele Oliva, Mauro Franceschelli, Andrea Gasparri, and Antonio Scala. A Sum-of-States Preservation Framework for Open Multiagent Systems With Nonlinear Heterogeneous Coupling. IEEE Transactions on Automatic Control, 69(3):1991-1998, 2024. [doi:10.1109/TAC.2023.3317728] Keyword(s): Multi-agent systems, Convergence, Topology, Heuristic algorithms, Protocols, Mobile robots, Nonlinear systems, Consensus protocol, Distributed average consensus, nonlinear systems, open multiagent systems (OMAS). 
    @ARTICLE{Gasparri:TAC:1:2024,
author={Oliva, Gabriele and Franceschelli, Mauro and Gasparri, Andrea and Scala, Antonio},
journal={IEEE Transactions on Automatic Control},
title={A Sum-of-States Preservation Framework for Open Multiagent Systems With Nonlinear Heterogeneous Coupling},
year={2024},
volume={69},
number={3},
pages={1991-1998},
keywords={Multi-agent systems;Convergence;Topology;Heuristic algorithms;Protocols;Mobile robots;Nonlinear systems;Consensus protocol;Distributed average consensus;nonlinear systems;open multiagent systems (OMAS)},
doi={10.1109/TAC.2023.3317728}
}


  5. Matteo Santilli, Antonio Furchi, Gabriele Oliva, and Andrea Gasparri. A Finite-Time Protocol for Distributed Time-Varying Optimization Over a Graph. IEEE Transactions on Control of Network Systems, 11(1):53-64, 2024. [doi:10.1109/TCNS.2023.3272220] Keyword(s): Optimization, Linear programming, Convergence, Time-varying systems, Network systems, Control systems, Network topology, Distributed time-varying optimization, finite-time protocol, graph sparsity, nonsmooth analysis. 
    @ARTICLE{Gasparri:TCNS:2024,
author={Santilli, Matteo and Furch{\`i}, Antonio and Oliva, Gabriele and Gasparri, Andrea},
journal={IEEE Transactions on Control of Network Systems},
title={A Finite-Time Protocol for Distributed Time-Varying Optimization Over a Graph},
year={2024},
volume={11},
number={1},
pages={53-64},
keywords={Optimization;Linear programming;Convergence;Time-varying systems;Network systems;Control systems;Network topology;Distributed time-varying optimization;finite-time protocol;graph sparsity;nonsmooth analysis},
doi={10.1109/TCNS.2023.3272220}
}


  6. Eduardo Sebastián, Mauro Franceschelli, Andrea Gasparri, Eduardo Montijano, and Carlos Sagüés. Accelerated Alternating Direction Method of Multipliers Gradient Tracking for Distributed Optimization. IEEE Control Systems Letters, 8:640-645, 2024. [doi:10.1109/LCSYS.2024.3400699] Keyword(s): Convergence, Optimization, Heuristic algorithms, Cost function, Costs, Convex functions, Computational efficiency, Optimization algorithms, distributed control, cooperative control. 
    @ARTICLE{Gasparri:CSL:1:2024,
author={Sebasti{\'a}n, Eduardo and Franceschelli, Mauro and Gasparri, Andrea and Montijano, Eduardo and Sag{\"u}{\'e}s, Carlos},
journal={IEEE Control Systems Letters},
title={Accelerated Alternating Direction Method of Multipliers Gradient Tracking for Distributed Optimization},
year={2024},
volume={8},
number={},
pages={640-645},
keywords={Convergence;Optimization;Heuristic algorithms;Cost function;Costs;Convex functions;Computational efficiency;Optimization algorithms;distributed control;cooperative control},
doi={10.1109/LCSYS.2024.3400699}
}



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Last modified: Tue Jan 28 23:24:36 2025
Author: Andrea Gasparri.

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