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Vijaya Rama Raju Gottimukkala: Advancing Global Financial Security Through Federated Learning
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This story was originally published on HackerNoon at: https://hackernoon.com/vijaya-rama-raju-gottimukkala-advancing-global-financial-security-through-federated-learning.
Vijaya Rama Raju Gottimukkala’s research uses federated learning to enhance global fraud detection while preserving privacy, compliance, and trust.
Check more stories related to finance at: https://hackernoon.com/c/finance. You can also check exclusive content about #federated-learning-finance, #vijaya-rama-raju-gottimukkala, #fraud-detection-ai, #cross-border-payments, #financial-data-privacy, #ethical-ai-compliance, #secure-financial-systems, #good-company, and more.
This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com.
Researcher Vijaya Rama Raju Gottimukkala introduces a federated learning model that enables banks to detect fraud collaboratively without sharing sensitive data. His framework combines privacy-by-design, asynchronous training, and regulatory alignment—advancing global financial security through ethical, scalable AI systems built on trust and transparency.
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