Publication Details
Lusine Abrahamyan, Lusine Abrahamyan, Nikos Deligiannis



The present disclosure relates to a computer implemented method for training a learning model by means of a distributed learning system comprising computing nodes, the computing nodes respectively implementing the learning model and deriving a gradient information for updating the learning model based on training data, the method comprising: encoding, by the computing nodes, the gradient information by exploiting a correlation across the gradient information from the respective computing nodes exchanging, by the computing nodes, the encoded gradient information within the distributed learning system determining an aggregate gradient information based on the encoded gradient information from the computing nodes and updating the learning model of the computing nodes with the aggregate gradient information, thereby training the learning model.