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:
Bibliographic Details
Published in:International Journal of Advanced Computer Science and Applications
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867301678489796611
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
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
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_auth Paper 23: ZK-FedMed: Privacy-Preserving Federated Learning for Cardiovascular and Renal Disease Prediction
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_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