How to collaboratively use statistical models in a secure way

Authors: Maciej Krzysztof Zuziak

ABSTRACT

The following articles compile research on the brink of privacy, federated learning and data governance to provide a reader with a basic understanding of the nuanced world of decentralised learning systems. It starts from simple notions of personal data and its connection to artifical intelligence. Afterwards, it goes into the realm of statistical learning to explain the basic technocratic lingo in a (hopefully) engaging way. With those topics covered, it proceeds to deliver on the basic notion of Data Collaborative and Decentralised Data Governance – an arcane term that the reader will be familiar with at the end of this lecture. Finally – it poses some open-ended remarks on the future of data analysis done in a way that benefits our communities. While the delivery of the article is relatively simple and straightforward, it also provides the curious reader with links and pointers that would allow them to go deeper into a well of data governance and large AI infrastructure.

Keywords: Federated Learning – Machine Learning – Data Governance – Alternative Data Governance – Data Collaboratives

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