Description: Privacy-enhancing technologies are tools and approaches designed to protect users’ personal information by minimizing the amount of data collected and processed. These technologies aim to ensure that individuals’ privacy is respected in an increasingly digital world, where data collection is ubiquitous. Key categories include federated learning, which allows the training of artificial intelligence models without centralizing data; 5G security, which provides faster and more secure connections; data anonymization, which transforms sensitive information into non-identifiable data; edge AI, which processes data locally on devices, reducing the need to send information to the cloud; and privacy-preserving machine learning, which involves algorithms that allow for analysis and insights from data without exposing individual information. These technologies are essential for fostering user trust and ensuring that technological innovation does not compromise personal privacy.
