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

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

International Journal on Smart Sensing and Intelligent Systems
Volume 18 (2025): Issue 1 (January 2025)
By: S. Akhilendranath and  P. Senthilkumar  
Open Access
|Dec 2025

Authors

S. Akhilendranath

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
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: Professor Subhas Chandra Mukhopadhyay
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 Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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