A Survey on Federated Learning: Fundamentals, Challenges and Client Selection Methods
Federated learning (FL) represents a transformative shift in machine learning, moving from conventional centralized approaches to a distributed framework that emphasizes data privacy and security. The FL server transmits an initial model to clients, which they train locally on their private data. A...
I tiakina i:
| Ngā kaituhi matua: | , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Mosul University
2025-12-01
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| Rangatū: | Al-Rafidain Journal of Computer Sciences and Mathematics |
| Ngā marau: | |
| Urunga tuihono: | https://csmj.uomosul.edu.iq/index.php/csmj/article/view/60317 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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