Davide Domini

Orcid: 0009-0006-8337-8990

According to our database1, Davide Domini authored at least 12 papers between 2023 and 2025.

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

Timeline

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Links

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Bibliography

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

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

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

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

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

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

Towards Self-Adaptive Cooperative Learning in Collective Systems.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024

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


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