Project Title: Personal information as currency for the supply of digital content

Objectives: The main objective of this research is to examine various methods of Distributed Machine Learning to assess which ones are the most suitable for creating a more consumer-centric framework for personal data management. The recent advancements in the theory of learning techniques that do not require end-clients to transfer their raw data beyond the devices (such as Federated Learning, Large Batch Stochastic Gradient Descent, and Split Neural Networks) allow us to experiment with approaching data management from a different angle, perhaps proposing more user-centric approach, where the consumers are more aware how to opt-out from the usage of their personal data or how to ask for a certain degree of personalisation of services. However, this all requires many breakthroughs not only in the aspect of technology but also shifts in how we think about our personal data management. The research done by Maciej in that regard should be at least a first step towards it.