conf.researchr.org / Gianluca Aguzzi
Registered user since Thu 19 Aug 2021
Name:Gianluca Aguzzi
Bio:
Gianluca Aguzzi is a postdoctoral researcher at the University of Bologna working on topics ranging from multi-agent learning to distributed algorithms and engineering methodologies, particularly leveraging recent advancements in distributed collective engineering with macro programming approaches.
Country:Italy
Affiliation:Alma Mater Studiorum - Università di Bologna
Personal website: https://cric96.github.io/
GitHub: https://github.com/cric96
Research interests:Machine Learning, Collective Adaptive System
Contributions
2027
2026
ACSOS
- Author of Discovering Collaboration from Novelty: Random Network Distillation for Clustered Federated Learning within the Workshops-track
- AI Chair in Organizing Committee
- PC Member in Program Committee within the Posters and Demos-track
- Web Chair in Organizing Committee
- Author of C²FL: Clustered Continual Federated Learning under Spatial and Temporal Drift within the Main Track-track
- Session Chair of Artifacts (part of Artifacts)
2025
ACSOS
2024
ACSOS
- Author of Opportunistic Fully-Distributed Federated Learning within the Main Track-track
- Author of Decentralized Multi-Drone Coordination for Wildlife Video Acquisition within the Main Track-track
- Committee Member in Poster and Demo Committee within the Posters and Demos-track
- Committee Member in Artifact Evaluation Committee within the Artifacts-track
2023
ACSOS
- Author of Programming (and Learning) Self-Adaptive & Self-Organizing Behaviour with ScaFi: for Swarms, Edge-Cloud Ecosystems, and More within the Tutorials-track
- Author of Self-Organisation Programming: A Functional Reactive Macro Approach within the Main Track-track
- Author of Field-informed Reinforcement Learning of Collective Tasks with Graph Neural Networks within the Artifacts-track
- Author of Field-informed Reinforcement Learning of Collective Tasks with Graph Neural Networks within the Posters and Demos-track
- Author of Self-Organisation Programming: A Functional Reactive Macro Approach within the Artifacts-track
- Author of Field-informed Reinforcement Learning of Collective Tasks with Graph Neural Networks within the Main Track-track
- Author of Self-Organisation Programming: A Functional Reactive Macro Approach within the Posters and Demos-track