Open Access
Research Article·pp. 1887–1895·Vol. 47, Issue 5-BMay 2026
Privacy-preserving machine learning techniques ensuring data confidentiality and model accuracy in federated learning environments
Sinu Nambiar, Manjusha Tatiya, Kajal Sanjay Diwate, Deepika Sharma, Samir N. Ajani, Yogesh Nagargoje
Published Online: 23 Apr 2026DOI: 10.47974/JIOS-2281
In this paper: Federated learning (FL) lets multiple people work together to train a model without storing private data in one place. This has a lot of promise for making AI more privacy-aware. However, FL is still...
