#federated-learning

#federated-learning

Federated learning can protect personal data in AI applications by training models locally on devices.

AI is transforming the insurance industry, but poses challenges in data management and compliance.

Transitioning to federated AI systems can enhance data privacy and regulatory compliance in insurance.

The research focuses on developing fair supervised learning models using different datasets to evaluate performance towards fairness in predictions.