Towards Federated Learning Approach to Determine Data Relevance in Big Data

In the past few years, data has proliferated to astronomical proportions; as a result, big data has become the driving force behind the growth of many machine learning innovations. However, the incessant generation of data in the information age poses a needle in the haystack problem, where it has become challenging to determine useful data from a heap of irrelevant ones. This has resulted in a quality over quantity issue in data science where a...