We distribute the chemical reaction template data across various clients, and the neural network, along with the initial model parameters, is transmitted from the central server to these clients. We've chosen the FedAvg algorithm for training the neural network and updating parameters within the federated learning framework. Similarly, quantum neural networks have been integrated into this federated learning workflow.