Schlagworte:
- 4-part harmonization
- Communication Efficiency
- computer vision
- Directed Mutation
- Evolutionary Machine Teaching
- FedAVG
- federated learning
- FedGP
- Genetic Programming
- Human Teaching
- Local Search
- Model Aggregation
- Models Aggregation
- Multi-Agent Systems
- object detection
- Robotics
- Smart Agriculture
- Vineyard pruning
- Vineyards
Publikationen von Elia Pacioni
2025
| und , Combining local search and directed mutation in evolutionary approaches to 4-part harmony, in: EvoMUSART, part of EvoStar, Trieste, Italy, Springer, 2025 |
| , und , FedGP: Genetic Programming for Evolutionary Aggregation in Federated Learning with non-IID data, in: Proceedings of EVO-STAR (EVO-APPLICATIONS) 2025, Trieste, Italy, Springer, 2025 |
| , und , Towards a Meaningful Communication and Model Aggregation in Federated Learning via Genetic Programming, in: Proceedings of the 17th International Conference on Agents and Artificial Intelligence: ICAART, Porto, Portugal, Seiten 1427-1431, Springer, 2025 |
[DOI] [URL] |
| , , , , und , Vineyard dataset for automatic pruning based on main parts localization (2025), in: Data in Brief, Elsevier, 59 |
[DOI] [URL] |