Collaborative Synthetic Data for Privacy-Preserving Financial Fraud Detection Across Organizational Silos

arXiv:2609.33754 · cs.LG, cs.AI · Submitted 2026-09-27 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/SimeonAllmendinger/collafuse-for-fraud-detection

Terminology

• Fidelity — 25× in this paper · explained in 2 episodes
• Benchmark — 16× in this paper · explained in 2 episodes
• Diffusion Model — 15× in this paper · explained in 8 episodes
• Synthetic Data Generation — 15× in this paper · explained in 5 episodes
• Federated Learning — 11× in this paper · explained in 14 episodes
• Generative Model — 10× in this paper · explained in 2 episodes
• Diffusion Models — 9× in this paper · explained in 6 episodes
• Generative Models — 5× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Data Sovereignty — 3× in this paper · explained in 2 episodes
• Maximum Mean Discrepancy — 3× in this paper
• Alignment — 2× in this paper · explained in 1 episode
• Generative AI — 2× in this paper · explained in 2 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adversarial Training — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Algorithmic Bias — 1× in this paper · explained in 1 episode
• Bank Account Fraud — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Differential Privacy — 1× in this paper · explained in 4 episodes
• Differentially Private — 1× in this paper · explained in 3 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Federated Learning (FL) — 1× in this paper · explained in 7 episodes
• Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
• Paper Review — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Communication-Efficient Learning of Deep Networks from Decentralized Data
• New Money: A Systematic Review of Synthetic Data Generation for Finance
• Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics

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