Latest Articles for Data Privacy

A new dataset and model aim to improve medical image generation for AI applications.

Using rephrased clinical notes to create synthetic data for healthcare models.

Study reveals privacy fact sheets improve EHR engagement among patients.

Learn how the linear-transformation model protects data privacy during analysis.

FedGR improves federated learning by refining noisy labels for better collaboration.

Federated learning protects brain data while improving motor imagery classification.

Learn how Confidential Computing protects sensitive information in today's digital world.

TruncFormer speeds up private inference for large language models while keeping data safe.

Explore the importance of guiding AI model usage responsibly.

Discover how EnFed enhances activity monitoring while ensuring privacy and saving battery life.

Learn how machines can forget unnecessary data for better privacy.

AI agents learn together while preserving individual techniques for better results.

A look at federated learning and its role in data privacy.

New methods ensure data privacy protection while utilizing machine learning.

Discover how federated learning protects your data while enhancing technology.

Federated Learning transforms machine learning while protecting sensitive data.

Explore how L2 regularization can enhance privacy in AI models.

Learn how the Shapley Value helps distribute contributions in data analysis.

Combining personalized models with global insights for enhanced privacy in data sharing.

FedPAW uses federated learning to enhance vehicle speed predictions while ensuring privacy.

A new approach to safeguarding sensitive health data while enabling valuable insights.

New methods aim to protect sensitive data while keeping it useful.

New methods combine quantum computing and federated learning to enhance data privacy.

SupportBot offers a tech-based approach to overcoming mental health challenges.

Explore how data sharing can improve conditions for gig workers.

Learn how federated learning trains AI while protecting personal data.

Innovative methods ensure privacy while generating realistic synthetic data.

Federated Learning transforms data sharing while protecting personal information.

FedMetaMed transforms personalized healthcare through innovative data collaboration techniques.

Argos makes fully homomorphic encryption faster and more secure for real-world use.

A new framework enhances federated learning, making it more responsive and efficient.

A look into online federated learning and privacy techniques.

Examining the pitfalls and biases of AI systems in various fields.

Learn how synthetic data is transforming Clinical QA systems for better patient care.

A look into the fusion of FL and QDSNNs for smarter, private data processing.

Predicting mobile data usage with federated learning ensures efficiency and privacy.

This article discusses the challenges of maintaining patient privacy and fairness in healthcare technology.

Learn how memory contention can lead to hidden vulnerabilities in modern devices.

Synthetic data offers a solution to patient data privacy challenges in medical research.

Exploring the risks of backdoor attacks in machine learning and their implications.