Transforming Wealth Advisory: Deep Learning, Reinforcement  Optimization, and Federated Intelligence at Scale

Srinivasa Rao Gunda

Transforming Wealth Advisory: Deep Learning, Reinforcement Optimization, and Federated Intelligence at Scale

Authors

Srinivasa Rao Gunda

Keywords:

Federated Optimization, Reinforcement Learning, Behavioral Segmentation, Explainable Artificial Intelligence, Wealth Management Architecture

Abstract

Static portfolio construction frameworks have long constrained the financial advisory industry byassuming stable markets, normally distributed returns, and rational investor behavior—conditions thatrarely hold in practice. Mr. Gunda designed and architected a first-of-its-kind AI-native wealth management model built on seven core components:

References

Taras Bodnar et al., "High-Dimensional portfolio selection with HDShOP package," Taylor & Francis Online, May 2025. [Online]. Available:

https://www.tandfonline.com/doi/full/10.1080/1351847X.2025.2501637d1e194

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Published

2026-03-25

How to Cite

Srinivasa Rao Gunda. (2026). Transforming Wealth Advisory: Deep Learning, Reinforcement Optimization, and Federated Intelligence at Scale. Journal of Computational Analysis and Applications (JoCAAA), 35(3), 520–530. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5213