Integrating Explainable AI and Federated Learning into Legacy Enterprise Systems: A Framework for Responsible Modernization

Authors

  • Pavana Kumar Chandana

Keywords:

Explainable Artificial Intelligence, Federated Learning, Legacy System Integration, Regulatory Compliance, Enterprise Architecture

Abstract

Enterprises across financial services, healthcare, and manufacturing sectors face critical challengesintegrating artificial intelligence systems into legacy operational platforms, confronting dual barriers ofalgorithmic opacity and data sovereignty constraints. This research presents a comprehensive five-stage framework systematically incorporating Explainable

References

Peter Kairouz et al., "Advances and Open Problems in Federated Learning," arXiv, 2021. Available: https://arxiv.org/abs/1912.04977

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Published

2026-01-16

How to Cite

Pavana Kumar Chandana. (2026). Integrating Explainable AI and Federated Learning into Legacy Enterprise Systems: A Framework for Responsible Modernization. Journal of Computational Analysis and Applications (JoCAAA), 35(1), 316–328. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4694

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Section

Articles