Outputs of the paper "Blockchain-enabled Server-less Federated Learning"

This repository contains the different outputs generated for the paper "Blockchain-enabled Server-less Federated Learning", submitted to Computer Networks (COMNET) journal. Two types of outputs are provided:

Blockchain queue simulator (output_queue_simulator): results of the simulations done in the batch-service queue simulator (https://github.com/fwilhelmi/batch_service_queue_simulator) to characterize the queue latency of blockchain applications.

Tensorflow (output_tensorflow): results of the simulations done in Tensorflow Federated (TFF), resulting from the application of different models to the federated EMNIST dataset.

Each folder also includes the scripts used to execute the corresponding simulations. For more details, see the repository in https://github.com/fwilhelmi/blockchain_enabled_federated_learning