Federated AI in Offline-First Mobile Health Architectures for Privacy-Preserving Clinical Intelligence
Abstract
The concept of Federated Artificial Intelligence (AI) has become a critical facilitator of privacy-conserving clinical intelligence especially when it comes to mobile health (mHealth) applications. This study examines how Federated AI can be integrated into offline-first mobile health architectures as a way of offering a scalable and secure framework to process clinical data without violating privacy. In conventional mHealths, clinical information is usually centrally stored and manipulated in a central server and such a case is a matter of concern in data privacy and security. These risks are addressed in the proposed framework whereby the Federated AI is used to allow the decentralized processing of data on mobile devices, where only updates of the model are exchanged and not the sensitive patient information. This enables the continuous training of the models even in offline settings so that real-time information can be obtained without having to be connected to the internet at any given time. The main aspects of the framework are local data preprocessing, model aggregation, and secure communication protocols that provide the data confidentiality during the learning process. The paper, using the detailed case study, proves the feasibility and effectiveness of the proposed framework to enhance the process of clinical decision-making without interfering with user privacy. The findings indicate that Federated AI will be able to greatly decrease the probability of privacy invasion and support privacy-conscious analytics on mobile devices, which is essential in delicate health areas.
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 8 No. 4 (2025): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
14589-14600 |
Published |
August 17, 2025 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Dr.R.Sugumar (%2025). Federated AI in Offline-First Mobile Health Architectures for Privacy-Preserving Clinical Intelligence. International Journal of Science, Research and Technology , Vol. 8 No. 4 (2025): International Journal of Science, Research and Technology (IJSRAT) , pp. 14589-14600. https://doi.org/10.15662/IJSRAT.2025.0804004 |
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