A Hybrid Federated Learning Model for Insurance Fraud Detection

A Hybrid Approach to Fraud Detection - Advancing Analytics

In developing this hybrid system, sets of rules are required as well as a machine learning model. I would be making use of a vehicle insurance ...

The Role of Explainable AI and Federated Learning in Financial ...

FL enables financial institutions to collaboratively train a model to detect fraudulent transactions without directly sharing customer data, ...

Practical guideline to efficiently detect insurance fraud in the era of ...

This paper proposes a novel deep learning model for auto insurance fraud detection using Latent Dirichlet Allocation (LDA) based text analysis.

International Journal of Research Publication and Reviews - ijrpr

Keywords: Fraud Detection, Artificial Intelligence, Machine Learning, Deep Learning, Federated Learning, Explainable AI, Hybrid Approaches,. Graph-Based Anomaly ...

An Investigation of Machine Learning Applications in the Financial ...

In credit card fraud detection, studies use five algorithms, including random forest and decision tree et al., and some construct a model ...

[PDF] Enhancing fraud detection in auto insurance and credit card ...

2022. TLDR. A hybrid solution, using the neural network (ANN) in a federated learning framework is proposed as an effective solution for achieving higher ...

Insurance Fraud Detection Using Novel Machine Learning Technique

Lin, "A Machine Learning Model for Product Fraud Detection Based On ... Indexed By. Most Read. Advanced Privacy-Preserving Federated Learning ...

Revolutionizing Fraud Detection and Healthcare Diagnostics

Federated learning addresses this by allowing multiple clients—such as hospitals or banks—to train a shared model collaboratively while keeping ...

What is federated learning? - IBM Research

Under one potential application, banks could train an AI model to detect fraud, then repurpose itl for other use cases. The benefits of breaking ...

Federated Machine Learning in Retail: Privacy-Preserving AI for E ...

a. Customer Behavior Prediction · b. Upselling Through Personalized Recommendations · c. Fraud Prevention.

A Hybrid Model for Detecting Insurance Fraud Using K

In medical insurance fraud detection, supervised learning is used to solve the classification problem into predefined labels. (fraudulent and ...

Federated Learning and Analytics for Fraud Prevention | integrate.ai

Enable your banking and insurance customers to build better fraud risk models on your platform, with machine learning and analytics on distributed data.

benedekrozemberczki/awesome-fraud-detection-papers - GitHub

Federated Meta-Learning for Fraudulent Credit Card Detection (IJCAI 2020) ... Detecting Fraud in Health Insurance Data: Learning to Model Incomplete Benford's Law ...

A Systematic Literature Review on the Use of Federated Learning ...

... A Hybrid Federated Learning Model for Insurance Fraud Detection. In Proceedings of the WS23 IEEE ICC 2023 Workshop on CyberNet: Cyber-Physical Security in ...

Enhancing fraud detection in auto insurance and credit card ... - OUCI

Maina, Detecting fraud in motor insurance claims using XGBoost algorithm with SMOTE, с. ... Supriya, A hybrid federated learning model for insurance fraud ...

Fraud Detection | Papers With Code

Federated Learning (FL) is a data-minimization approach enabling collaborative model training across diverse clients with local data, avoiding direct data ...

Fraud Detection - CatalyzeX

Securing Transactions: A Hybrid Dependable Ensemble Machine Learning Model using IHT-LR and Grid Search ... Federated Learning -- A Case of the Insurance Industry.

Review of Machine Learning Approach on Credit Card Fraud ...

Therefore, our proposed work will use a federated learning model to ensure data privacy to train it for credit card fraud detection. Data mining ...

Federated Learning in Finance: Enhancing Analytics While ...

... hybrid cloud models ... - Advanced Fraud Detection: Develop more sophisticated fraud detection models by learning from patterns across multiple ...

Financial Fraud Detection Based on Machine and Deep Learning

The integration of artificial intelligence (AI) and deep learning has played a pivotal role in identifying fraudulent financial transactions, money laundering.