Federated Learning for Privacy-Preserving AI in Mobile Health Applications

Federated Learning for Privacy-Preserving AI in Mobile Health Applications Authors- Vishwas M N Abstract--The rapid growth of mobile health (mHealth) applications has led to a paradigm shift in how healthcare services are delivered, offering real-time monitoring, remote diagnostics, and personalized ... Read More »

Authors

Mukul Vishwas

Publication Details

Journal: International Journal of Science Engineering and Technology
Published: 2025-04-15
DOI: https://doi.org/10.61463/ijset.vol.13.issue2.384
Primary Topic: Privacy-Preserving Technologies in Data
Type: article
Field-Weighted Citation Impact: 0.00

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article

Federated Learning for Privacy-Preserving AI in Mobile Health Applications

Mukul Vishwas

Apr 15, 2025

International Journal of Science Engineering and Technology

Privacy-Preserving Technologies in Data

article

Federated Learning for Privacy-Preserving AI in Mobile Health Applications

Mukul Vishwas

April 15, 2025article en

Abstract

International Journal of Science Engineering and TechnologyVol. 13(2)

Openalex Percentile: Top 96%

Privacy-Preserving Technologies in Data

DOI Source OpenAlex

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Federated Learning for Privacy-Preserving AI in Mobile Health Applications — Mukul Vishwas · International Journal of Science Engineering and Technology (2025) | TGRS Research Map | TGRS