Data Owner

Data ownership in the context of machine learning and data sharing focuses on empowering individuals and organizations to control their data while enabling collaborative analysis and model training. Current research emphasizes methods like federated learning, blockchain technologies, and differential privacy to achieve this, often incorporating agent-based systems for optimized data usage and pricing strategies. This research is crucial for addressing privacy concerns, fostering trust in data-driven applications, and enabling the development of more ethical and responsible AI systems across various sectors.