Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection

20 December 2023

Papers citing "Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection"

6 / 6 papers shown

Title
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods Fahad Almalki Mehedi Masud 152 0 0 15 May 2025
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing Martino Chiarani Swastika Roy C. Verikoukis Fabrizio Granelli 113 1 0 16 Mar 2025
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 168 0 0 19 Nov 2024
Transforming Triple-Entry Accounting with Machine Learning: A Path to Enhanced Transparency Through Analytics Abraham Itzhak Weinberg Alessio Faccia 103 3 0 19 Nov 2024
Prospects of Privacy Advantage in Quantum Machine Learning Jamie Heredge Niraj Kumar Dylan Herman Shouvanik Chakrabarti Romina Yalovetzky Shree Hari Sureshbabu Changhao Li Marco Pistoia 65 4 0 14 May 2024
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.2K 22,295 0 22 May 2017