The concept of federated learning has become widespread in working with data, mainly due to the fact that it allows training on data directly nodes where they are stored. As a result, no transfer is required. After completed each node, only trained model transmitted central server for aggregation. Multi-agent systems behave similar way, because agents allow you train machine models local device...