Supporting data for “Optimizing Federated Learning with Communication Reduction and Synchronization Control”

<p>Experimental data used in Thesis  “Optimizing Federated Learning with Communication Reduction and Synchronization Control”.</p> <p>There are source codes that read the logs from the 'data/' </p> <p>folder and then display the figures or tables.</p> <p><br></p> <p>This thesis aims to improve the federated learning systems with communication reduction techniques and accelerate model convergence speed by asynchronous training. </p> <p>The provided data show the effectiveness of our proposed algorithm, which includes two fast K asynchronous algorithms and a novel weighted aggregation function.</p> <p><br></p> <p><br></p> <p><br></p>