DART: A Solution for decentralized federated learning model robustness analysis
Federated Learning (FL) has emerged as a promising approach to address privacy concerns inherent in Machine Learning (ML) practices. However, conventional FL methods, particularly those following the Centralized FL (CFL) paradigm, utilize a central server for global aggregation, which exhibits limit...
Kaydedildi:
| Asıl Yazarlar: | , , , , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2024-09-01
|
| Seri Bilgileri: | Array |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2590005624000262 |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|