The objective of this project is to develop a robust, privacy-preserving collaborative learning framework for financial fraud detection by training an intelligent machine learning model. This will involve collaborating with merchants, banks, companies, and end users to utilize real-time data while ensuring the security and privacy of all participants. Key deliverables include a collaborative learning framework, an analysis of its security and privacy measures, and an interactive dashboard that visualizes transaction summaries for effective monitoring and fraud detection.
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