Privacy Concern

Privacy concerns are a central challenge in the increasing use of data-driven technologies, particularly in areas like healthcare, industrial IoT, and online services. Current research focuses on developing privacy-preserving methods for data aggregation and model training, such as federated learning approaches, to enable collaborative data analysis without compromising individual confidentiality. These efforts are crucial for building trust in AI systems and ensuring responsible data handling across various sectors, impacting both the development of robust algorithms and the ethical deployment of technology.