Application of federated learning in predicting breast cancer
The prediction and diagnosis of breast cancer relies on multimodal data, such as imaging, genetic information, and patient lifestyle habits. Federated learning provides a framework to protect data privacy, allowing multiple institutions to share model training without sharing the original data. This...
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| Main Author: | Chai Jiarui |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_02026.pdf |
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