The HALF framework: a privacy-preserving federated learning approach for scalable and secure AI applications

Department of Computer Science and Engineering, Bharatiya Engineering Science and Technology Innovation University, B.E.S.T. Innovation University, Gorantla, India

P. Senthilkumar

psenthilkumarshadan@gmail.com

Department of Computer Science and Engineering, SRM Institute of Science and Technology Tiruchirapalli, Irungalur, India

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DOI: https://doi.org/10.2478/ijssis-2025-0058 | Journal eISSN: 1178-5608

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Language: English

Submitted on: Feb 6, 2025

Published on: Dec 18, 2025

Published by: Macquarie University, Australia

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

federated learning,

hybrid adaptive learning framework,

distributed machine learning

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2025 S. Akhilendranath, P. Senthilkumar, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 18 (2025): Issue 1 (January 2025)