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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
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Blog Post number 4
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Blog Post number 1
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portfolio
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publications
ScaRLib: A Framework for Cooperative Many Agent Deep Reinforcement Learning in Scala
Published in International Conference on Coordination Models and Languages3, 2023
Recommended citation: Davide Domini, Filippo Cavallari, Gianluca Aguzzi, Mirko Viroli (2023). "ScaRLib: A Framework for Cooperative Many Agent Deep Reinforcement Learning in Scala." International Conference on Coordination Models and Languages, pp. 52–70.
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A Reusable Simulation Pipeline for Many-Agent Reinforcement Learning
Published in IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2024), 2024
Recommended citation: Davide Domini, Gianluca Aguzzi, Danilo Pianini, Mirko Viroli (2024). "A Reusable Simulation Pipeline for Many-Agent Reinforcement Learning." IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2024), pp. 83–90.
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ScaRLib: Towards a hybrid toolchain for aggregate computing and many-agent reinforcement learning
Published in Science of Computer Programming, Volume 238, Article 103176, 2024
Recommended citation: Davide Domini, Filippo Cavallari, Gianluca Aguzzi, Mirko Viroli (2024). "ScaRLib: Towards a hybrid toolchain for aggregate computing and many-agent reinforcement learning." Science of Computer Programming, Volume 238, Article 103176, Article 103176.
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Field-Based Coordination for Federated Learning
Published in International Conference on Coordination Models and Languages, 2024
Recommended citation: Davide Domini, Gianluca Aguzzi, Lukas Esterle, Mirko Viroli (2024). "Field-Based Coordination for Federated Learning." International Conference on Coordination Models and Languages, pp. 56–74.
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Towards Intelligent Pulverized Systems: a Modern Approach for Edge-Cloud Services
Published in WOA 2024, the 25th Workshop From Objects to Agents, 2024
Recommended citation: Davide Domini, Nicolas Farabegoli, Gianluca Aguzzi, Mirko Viroli (2024). "Towards Intelligent Pulverized Systems: a Modern Approach for Edge-Cloud Services." WOA 2024, the 25th Workshop From Objects to Agents, pp. 233–251.
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Proximity-based Self-Federated Learning
Published in IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2024), 2024
Recommended citation: Davide Domini, Gianluca Aguzzi, Nicolas Farabegoli, Mirko Viroli, Lukas Esterle (2024). "Proximity-based Self-Federated Learning." IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2024), pp. 139–144.
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Towards Self-Adaptive Cooperative Learning in Collective Systems
Published in ACSOS-C 2024, 2024
Recommended citation: Davide Domini (2024). "Towards Self-Adaptive Cooperative Learning in Collective Systems." ACSOS-C 2024, pp. 158–160.
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Scaling Swarm Coordination with GNNs—How Far Can We Go?
Published in AI, Volume 6, Issue 11, Article 282, 2025
Recommended citation: Gianluca Aguzzi, Davide Domini, Federico Venturini, and Mirko Viroli (2025). "Scaling Swarm Coordination with GNNs—How Far Can We Go?" AI, 6(11), Article 282.
Neighbor-Based Decentralized Training Strategies for Multi-Agent Reinforcement Learning
Published in The 40th ACM/SIGAPP Symposium on Applied Computing (SAC 2025), 2025
Recommended citation: Nicolò Malucelli, Davide Domini, Gianluca Aguzzi, Mirko Viroli (2025). "Neighbor-Based Decentralized Training Strategies for Multi-Agent Reinforcement Learning." The 40th ACM/SIGAPP Symposium on Applied Computing (SAC 2025), pp. 1250–1257.
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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0
Published in International Joint Conference on Neural Networks (IJCNN 2025), 2025
Recommended citation: Davide Domini, Laura Erhan, Gianluca Aguzzi, Lucia Cavallaro, Amirhossein Douzandeh Zenoozi, Antonio Liotta, Mirko Viroli (2025). "Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0." International Joint Conference on Neural Networks (IJCNN 2025), pp. 1–8.
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A Demonstrator for Self-organizing Robot Teams
Published in International Conference on Coordination Models and Languages, 2025
Recommended citation: Gianluca Aguzzi, Lorenzo Bacchini, Martina Baiardi, Roberto Casadei, Angela Cortecchia, Davide Domini, Nicolas Farabegoli, Danilo Pianini, Mirko Viroli (2025). "A Demonstrator for Self-organizing Robot Teams." International Conference on Coordination Models and Languages, pp. 230–244.
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Decentralized proximity-aware clustering for collective self-federated learning
Published in Internet of Things, Volume 35, Article 101841, 2026
Recommended citation: Davide Domini, Nicolas Farabegoli, Gianluca Aguzzi, Mirko Viroli, Lukas Esterle (2026). "Decentralized proximity-aware clustering for collective self-federated learning." Internet of Things, Volume 35, Article 101841, Article 101841.
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FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning
Published in Logical Methods in Computer Science, Volume 22, Issue 1, 2026
Recommended citation: Davide Domini, Gianluca Aguzzi, Lukas Esterle, Mirko Viroli (2026). "FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning." Logical Methods in Computer Science, Volume 22, Issue 1, pp. 1–30.
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Heterogeneous GNN for collective-task offloading in cloud-edge via deep Q-learning
Published in Future Generation Computer Systems, Volume 183, Article 108539, 2026
Recommended citation: Nicolas Farabegoli, Davide Domini, Gianluca Aguzzi, Mirko Viroli (2026). "Heterogeneous GNN for collective-task offloading in cloud-edge via deep Q-learning." Future Generation Computer Systems, Volume 183, Article 108539, Article 108539.
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Phyelds: A Pythonic Framework for Aggregate Computing
Published in International Conference on Coordination Models and Languages, 2026
Recommended citation: Gianluca Aguzzi, Davide Domini, Nicolas Farabegoli, Mirko Viroli (2026). "Phyelds: A Pythonic Framework for Aggregate Computing." International Conference on Coordination Models and Languages, pp. 174–191.
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ProFed: A Benchmark for Proximity-Based Non-IID Federated Learning
Published in Journal of Open Research Software, Volume 14, 2026
Recommended citation: Davide Domini, Christian Otte Ingemann, Gianluca Aguzzi, Lukas Esterle, Mirko Viroli (2026). "ProFed: A Benchmark for Proximity-Based Non-IID Federated Learning." Journal of Open Research Software, Volume 14, pp. 1–13.
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HarmoniKt: a Unifying Middleware for Heterogeneous Robot Fleets
Published in 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), 2026
Recommended citation: Manuel Andruccioli, Angela Cortecchia, Davide Domini, Nicolas Farabegoli, Giovanni Delnevo, Danilo Pianini, Riccardo Venanzi, Mirko Viroli (2026). "HarmoniKt: a Unifying Middleware for Heterogeneous Robot Fleets." 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), pp. 1–6.
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C2FL: Clustered Continual Federated Learning under Spatial and Temporal Drift
Published in arXiv preprint, 2026
Recommended citation: Davide Domini, Gianluca Aguzzi, Lorenzo Pellegrini, Mirko Viroli, Lukas Esterle (2026). "C2FL: Clustered Continual Federated Learning under Spatial and Temporal Drift." arXiv preprint.
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Flexible Distributed Particle Filtering for the Internet of Things via Aggregate Computing
Published in arXiv preprint, 2026
Recommended citation: Angela Cortecchia, Davide Domini, Giovanni Ciatto, Roberto Casadei, Danilo Pianini, Mirko Viroli (2026). "Flexible Distributed Particle Filtering for the Internet of Things via Aggregate Computing." arXiv preprint.
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Discovering Collaboration from Novelty: Random Network Distillation for Clustered Federated Learning
Published in arXiv preprint, 2026
Recommended citation: Davide Domini, Gianluca Aguzzi, Ivana Dusparic, Danilo Pianini, Mirko Viroli (2026). "Discovering Collaboration from Novelty: Random Network Distillation for Clustered Federated Learning." arXiv preprint.
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Digital Twin Aggregates for adaptive MLOps retraining policies in healthcare
Published in Future Generation Computer Systems, Volume 185, Article 108674, 2026
Recommended citation: Davide Domini, Leonardo Micelli, Samuele Burattini, Sara Montagna (2026). "Digital Twin Aggregates for adaptive MLOps retraining policies in healthcare" Future Generation Computer Systems, Volume 185, Article 108539, Article 108674.
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talks
Field-Based Coordination for Federated Learning
Published:
I presented our paper “Field-Based Coordination for Federated Learning” in the main track of COORDINATION 2024, held as part of the DisCoTec federated conference.
Towards Intelligent Pulverized Systems: a Modern Approach for Edge-Cloud Services
Published:
I presented our paper “Towards Intelligent Pulverized Systems: a Modern Approach for Edge-Cloud Services” at WOA 2024, hosted in the historic setting of Forte di Bard.
Proximity-Based Self-Federated Learning
Published:
I presented our paper “Proximity-Based Self-Federated Learning” in the main track of ACSOS 2024.
Towards Self-Adaptive Cooperative Learning in Collective Systems
Published:
I presented “Towards Self-Adaptive Cooperative Learning in Collective Systems” at the Doctoral Symposium of ACSOS 2024.
A Reusable Simulation Pipeline for Many-Agent Reinforcement Learning
Published:
I presented our paper “A Reusable Simulation Pipeline for Many-Agent Reinforcement Learning” at DS-RT 2024.
Neighbor-Based Decentralized Training Strategies for Multi-Agent Reinforcement Learning
Published:
I presented our paper “Neighbor-Based Decentralized Training Strategies for Multi-Agent Reinforcement Learning” at SAC 2025.
Sparse Self-Federated Learning for Energy-Efficient Cooperative Intelligence in Society 5.0
Published:
I presented our paper “Sparse Self-Federated Learning for Energy-Efficient Cooperative Intelligence in Society 5.0” at IJCNN 2025.
Artificial Hive Minds
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I was selected as one of the ten PhD finalists from across the University of Bologna for the 2026 Three-Minute-Thesis Competition.
Engineering Cooperative Intelligence in Collective Systems
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I gave a flash talk at our department’s internal PhD symposium, presenting an overview of my doctoral research on cooperative intelligence and self-adaptive learning in collective systems.
teaching
Teaching Tutor in Fundamentals of Computer Science
Bachelor's Degree Course, Alma Mater Studiorum - University of Bologna, Department of Electrical, Electronic, and Information Engineering, 2026
Teaching tutor for the Fundamentals of Computer Science course offered within the Bachelor’s Degree Programmes in Biomedical Engineering and Electronics Engineering at the University of Bologna.
Teaching Tutor in Software Engineering
Master Course, Alma Mater Studiorum - University of Bologna, Department of Computer Science and Engineering, 2026
Teaching tutor for the Software Engineering course in the Master’s Degree Programme in Digital Transformation Management at the University of Bologna.