Take Your Genome Data To New Heights
Although machine learning algorithms are widely used in extremely diverse situations, in practice, one or more major limitations almost invariably appear and significantly constrain successful applications. Frequently, these problems are associated with large increases in the rate of generation of data, the quantity of data and the number of attributes (variables) to be processed. Increasingly, the data situation is now beyond the capabilities of conventional machine learning algorithms. Federated Learning is a distributed machine learning approach which enables model training on a large amount of decentralized data. Bioada Xarang is a scalable and near real time machine learning platform for federated learning in the domain of genomics.