Federated Learning (FL) is a privacy-preserving distributed machine learning scheme,
where each participant data remains on the participating devices and only the local model …

The rapidly evolving mobile IoT landscape, driven by mobile financial applications, self-
driving cars, wearables, and health monitoring devices, confronts substantial blockchain …

Graph-based or multidimensional blockchains have been proposed to improve the
scalability and efficiency of existing blockchain applications. However, when implemented in …