Latest Articles for Data Privacy

ECoral enhances federated class-incremental learning while ensuring data privacy.

Learn how ConDistFL improves AI model training with sensitive medical data.

A look at how protective methods shield data from misuse in image generation.

A look into federated learning and its role in maintaining privacy while improving data accuracy.

Calibre enhances personalized federated learning with better model performance and fairness.

A new method improves communication in Federated Learning while protecting privacy.

How machine unlearning helps protect personal data in AI systems.

Federated learning enhances machine learning while keeping data private.

New tool enhances collaboration for brain tumor AI models.

Learn how federated unlearning can protect your data privacy.

A new framework combines federated learning and blockchain to enhance privacy and security.

Discover how MOLLM improves LLMs by erasing harmful data efficiently.

Synthetic data offers a secure way to analyze health information without privacy risks.

Discover the challenge of combining privacy and explainability in high-stakes AI systems.