In this modern era of financial fraud detection, traditional rule-based systems are being outpaced by hybrid models that seamlessly integrate human expertise with data engineering frameworks.

Abstract: In this paper, we investigate federated learning (FL) efficiency improvement in practical edge computing systems, where edge workers have non-independent and identically distributed (non-IID ...

Thankfully, Vonage and AWS have sophisticated solutions to match, helping to accelerate digital transformation in financial services. Here are just some of the ways you can mitigate fraud with our ...

By learning how to identify fake websites and following security best practices, Nigerians can protect themselves from falling victim to online fraud. Cash transfer scam The warning from NITDA ...

APPFL, Advanced Privacy-Preserving Federated Learning, is an open-source and highly extensible software framework that allows research communities to implement, test ...

84\%}$. Thus, effectiveness of suggested CNN-based federated learning approach for enriching fraud detection systems is shown, with good generalisation and high accuracy on various types of ...

Combining multiple suspicious indicators strengthens fraud detection and enhances risk assessments, enabling institutions to proactively address potential threats. By fostering collaboration ...

[NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Policy Gradient with Byzantine Resilience framework for improving ...