What are the future trends in anonymization techniques?

What are the future trends in anonymization techniques?

Future trends in anonymization techniques include advanced differential privacy, federated learning, and synthetic data generation.

Can you explain how differential privacy works?

Differential privacy adds noise to datasets to protect individual data points while still allowing for useful analysis.

What is federated learning and how does it relate to anonymization?

Federated learning allows models to be trained across decentralized data sources without sharing the actual data, enhancing privacy.

Are there any challenges with these techniques?

Yes, challenges include balancing data utility with privacy, computational costs, and ensuring compliance with regulations.