B. Erfianto

Federated Learning with Differential Privacy for Fraud Detection: Evaluating Performance Under IID and Non-IID Data Distributions

Federated learning allows financial institutions to collaboratively identify fraud without distributing raw transaction data, while differential privacy safeguards individual records from inference attacks. Utilizing a lightweight four-layer neural network that was trained on a 10,000-sample subset of the PaySim mobile...