Gianluca Aguzzi

Orcid: 0000-0002-1553-4561

According to our database1, Gianluca Aguzzi authored at least 39 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2026
Low-code design of collective systems with ScaFi-Blocks.
Sci. Comput. Program., 2026

2025
Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0.
CoRR, July, 2025

Software Engineering for Collective Cyber-Physical Ecosystems.
ACM Trans. Softw. Eng. Methodol., June, 2025

ProFed: a Benchmark for Proximity-based non-IID Federated Learning.
CoRR, March, 2025

FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning.
CoRR, February, 2025

MacroSwarm: A scala framework for swarm programming.
Sci. Comput. Program., 2025

Neighbor-Based Decentralized Training Strategies for Multi-Agent Reinforcement Learning.
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

A Demonstrator for Self-organizing Robot Teams.
Proceedings of the Coordination Models and Languages, 2025

A Fine-Tuning Pipeline with Small Conversational Data for Healthcare Chatbot.
Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024
A language-based software engineering approach for cyber-physical swarms.
PhD thesis, 2024

ScaRLib: Towards a hybrid toolchain for aggregate computing and many-agent reinforcement learning.
Sci. Comput. Program., 2024

Towards Intelligent Pulverized Systems: a Modern Approach for Edge-Cloud Services.
Proceedings of the 25th Workshop "From Objects to Agents", 2024

Optimising Aggregate Monitors for Spatial Logic of Closure Spaces Properties.
Proceedings of the 7th ACM International Workshop on Verification and Monitoring at Runtime Execution, 2024

LLM-based Solutions for Healthcare Chatbots: a Comparative Analysis.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients.
Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2024) co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), 2024

A Reusable Simulation Pipeline for Many-Agent Reinforcement Learning.
Proceedings of the 28th International Symposium on Distributed Simulation and Real Time Applications, 2024

Engineering Distributed Collective Intelligence in Cyber-Physical Swarms.
Proceedings of the 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2024

Field-Based Coordination for Federated Learning.
Proceedings of the Coordination Models and Languages, 2024

ScaFi-Blocks: A Visual Aggregate Programming Environment for Low-Code Swarm Design.
Proceedings of the Coordination Models and Languages, 2024

Decentralized Multi-Drone Coordination for Wildlife Video Acquisition.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024

Proximity-based Self-Federated Learning.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024

2023
A field-based computing approach to sensing-driven clustering in robot swarms.
Swarm Intell., June, 2023

ScaRLib: A Framework for Cooperative Many Agent Deep Reinforcement Learning in Scala.
Proceedings of the Coordination Models and Languages, 2023

MacroSwarm: A Field-Based Compositional Framework for Swarm Programming.
Proceedings of the Coordination Models and Languages, 2023

Programming (and Learning) Self-Adaptive & Self-Organising Behaviour with ScaFi: for Swarms, Edge-Cloud Ecosystems, and More.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

Self-Organisation Programming: A Functional Reactive Macro Approach.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

Field-informed Reinforcement Learning of Collective Tasks with Graph Neural Networks.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

2022
ScaFi: A Scala DSL and Toolkit for Aggregate Programming.
SoftwareX, December, 2022

Dynamic decentralization domains for the Internet of Things - Simulation Repository.
Dataset, April, 2022

Dynamic Decentralization Domains for the Internet of Things.
IEEE Internet Comput., 2022

Machine Learning for Aggregate Computing: a Research Roadmap.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Towards Automated Engineering for Collective Adaptive Systems: Vision and Research Directions.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

Towards Reinforcement Learning-based Aggregate Computing.
Proceedings of the Coordination Models and Languages, 2022

Addressing Collective Computations Efficiency: Towards a Platform-level Reinforcement Learning Approach.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2022

2021
A Programming Approach to Collective Autonomy.
J. Sens. Actuator Networks, 2021

Encouraging users in waste sorting using deep neural networks and gamification.
Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021

ScaFi-Web: A Web-Based Application for Field-Based Coordination Programming.
Proceedings of the Coordination Models and Languages, 2021

Towards Pulverised Architectures for Collective Adaptive Systems through Multi-Tier Programming.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

Research directions for Aggregate Computing with Machine Learning.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021


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