A Novel Federated Learning Framework for Sustainable and Efficient Breast Cancer Classification System (FL-L<sub>2</sub>CNN-BCDet)
Artificial intelligence (AI) technologies have vastly improved. AI is now being used in a variety of applications to diagnose Breast Cancer (BC). However, most of the recent research has focused on centralized learning, which can pose privacy risks. In this paper, we propose a novel Federated Learni...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2024-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/10737344/ |
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