BALANCING TRANSPARENCY AND PRIVACY LEVERAGING EXPLAINABLE AI AND FEDERATED FINANCIAL FRAUD DETECTION

Financial fraud detection using Explainable AI and Federated Learning is explained in this video. The process follows collection of raw financial transaction data, which is preprocessed and feature engineered. Followed by Train-Test Split continued with Scaling & Normalization. At last Hybrid LSTM-GRU classifier classifies transactions as fraudulent or legitimate. This approach balances transparency and privacy , making financial fraud detection more secure and interpretable.
To know more, contact:
AB TECHNOLOGIES-9840511458, Email-abtechchennai@gmail.com,
website- www.abtechnologies.in

source