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.
Davide Domini, Gianluca Aguzzi, Ivana Dusparic, Danilo Pianini, Mirko Viroli (2026). "Discovering Collaboration from Novelty: Random Network Distillation for Clustered Federated Learning." arXiv preprint.
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.
Davide Domini, Gianluca Aguzzi, Lorenzo Pellegrini, Mirko Viroli, Lukas Esterle (2026). "C2FL: Clustered Continual Federated Learning under Spatial and Temporal Drift." arXiv preprint.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Davide Domini (2024). "Towards Self-Adaptive Cooperative Learning in Collective Systems." ACSOS-C 2024, pp. 158–160.
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.
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.
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.
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.
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.
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.
Flash Talk at Internal PhD Symposium — Department of Computer Science and Engineering, University of Bologna, Cesena, Italy
Three-Minute Thesis Competition at University of Bologna Three-Minute-Thesis Competition — Final Round, Bologna, Italy
Conference Talk at IJCNN 2025 — International Joint Conference on Neural Networks, Rome, Italy
Conference Talk at SAC 2025 — 40th ACM/SIGAPP Symposium on Applied Computing, Catania, Italy
Conference Talk at DS-RT 2024 — 28th International Symposium on Distributed Simulation and Real Time Applications, Urbino, Italy
Doctoral Symposium Talk at ACSOS 2024 Doctoral Symposium, Aarhus, Denmark
Conference Talk at ACSOS 2024 — IEEE International Conference on Autonomic Computing and Self-Organizing Systems, Aarhus, Denmark
Workshop Talk at WOA 2024 — 25th Workshop From Objects to Agents, Forte di Bard, Aosta, Italy
Conference Talk at COORDINATION 2024 — 26th International Conference on Coordination Models and Languages, Groningen, The Netherlands
Reviewer for journals and international conferences, including: