Blockchain Sharding based Federated Learning Empowered with NFT-based Privacy-Preserving Model Sharing

Federated learning is a promising approach that omits the central learning of the collected data through allowing the participating nodes to learn locally their model, and eventually the submitted updates are aggregated to obtain a global trained model. The main goal of this process is maintaining the participant data privacy. Blockchain is supported by lots of federated learning applications in o...