<ul data-eligibleForWebStory="true"><li>Fraud detection in the financial sector is challenging due to privacy laws and data security.</li><li>Traditional models raise concerns with centralized data, leading to overfitting and poor performance.</li><li>Federated learning with Flower on SageMaker allows joint model training without raw data sharing.</li><li>It improves accuracy, maintains compliance, and fosters collaboration in privacy-conscious environments.</li></ul>

Fraud detection empowered by federated learning with the Flower framework on Amazon SageMaker AI

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