Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Paper 23: ZK-FedMed: Privacy-Preserving Federated Learning for Cardiovascular and Renal Disease Prediction
Saved in:
| Published in: | International Journal of Advanced Computer Science and Applications |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1868553622556508160 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | International Journal of Advanced Computer Science and Applications |
| description | |
| discipline_display | Computer Science |
| discipline_facet | Computer Science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:78352 |
| institution | FRELIP |
| journal_source_facet | International Journal of Advanced Computer Science and Applications |
| last_indexed | 2026-06-20T21:39:56.259Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Paper 23: ZK-FedMed: Privacy-Preserving Federated Learning for Cardiovascular and Renal Disease Prediction Computer Science General Computer Science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Computer Science General Computer Science |
| subject_facet | Computer Science General Computer Science |
| title | Paper 23: ZK-FedMed: Privacy-Preserving Federated Learning for Cardiovascular and Renal Disease Prediction |
| title_alt | Artículo 23: ZK-FedMed: Aprendizaje Federado con Preservación de la Privacidad para la Predicción de Enfermedades Cardiovasculares y Renales Article 23 : ZK-FedMed : Apprentissage fédéré préservant la confidentialité pour la prédiction des maladies cardiovasculaires et rénales Artigo 23: ZK-FedMed: Aprendizado Federado com Preservação de Privacidade para Predição de Doenças Cardiovasculares e Renais |
| title_auth | Paper 23: ZK-FedMed: Privacy-Preserving Federated Learning for Cardiovascular and Renal Disease Prediction |
| title_es_txt | Artículo 23: ZK-FedMed: Aprendizaje Federado con Preservación de la Privacidad para la Predicción de Enfermedades Cardiovasculares y Renales |
| title_fr_txt | Article 23 : ZK-FedMed : Apprentissage fédéré préservant la confidentialité pour la prédiction des maladies cardiovasculaires et rénales |
| title_full | Paper 23: ZK-FedMed: Privacy-Preserving Federated Learning for Cardiovascular and Renal Disease Prediction |
| title_fullStr | Paper 23: ZK-FedMed: Privacy-Preserving Federated Learning for Cardiovascular and Renal Disease Prediction |
| title_full_unstemmed | Paper 23: ZK-FedMed: Privacy-Preserving Federated Learning for Cardiovascular and Renal Disease Prediction |
| title_pt_txt | Artigo 23: ZK-FedMed: Aprendizado Federado com Preservação de Privacidade para Predição de Doenças Cardiovasculares e Renais |
| title_short | Paper 23: ZK-FedMed: Privacy-Preserving Federated Learning for Cardiovascular and Renal Disease Prediction |
| title_sort | paper 23: zk-fedmed: privacy-preserving federated learning for cardiovascular and renal disease prediction |
| topic | Computer Science General Computer Science |
| url | http://thesai.org/Downloads/Volume17No5/Paper_23-ZK_FedMed_Privacy_Preserving_Federated_Learning.pdf |