Privacy-Preserving Diabetes and Heart Disease Prediction via Federated Learning and WCO

Privacy-Preserving Diabetes and Heart Disease Prediction via Federated Learning and WCO

Abstract Diabetes, afflicting 537 million worldwide, is a prevalent and lethal non-communicable ailment. Its onset, influenced by factors like obesity and family history, manifests symptoms such as frequent urination. Long-term complications encompass heart, kidney, and nerve ailments. Early predict...

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Bibliographic Details
Main Authors: Sachikanta Dash, Sasmita Padhy, Preetam Suman, Sandip Mal, Lokesh Malviya, Amrit Suman, Jaydeep Kishore
Format: Article
Language:English
Published: Springer 2025-08-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Diabetes classification
Federated learning
Cardiovascular disease
Weighted conglomeration optimization
Online Access:https://doi.org/10.1007/s44196-025-00956-8
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https://doi.org/10.1007/s44196-025-00956-8

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