Federated Learning for Maritime Environments: Use Cases, Experimental Results, and Open Issues
Maritime transportation is crucial for global trade and responsible for the majority of goods movement worldwide. The optimization of maritime operations is challenged by the complexity and heterogeneity of maritime nodes. This paper presents the emerging deployment of federated learning (FL) in mar...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2024-06-01
|
| Rangatū: | Journal of Marine Science and Engineering |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2077-1312/12/6/1034 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|