Abstract: A wireless charging apparatus includes a housing, a base, a first drive assembly, a second drive assembly and a charging coil. The housing is provided with a load-bearing cover plate, and the load-bearing cover plate is configured to carry a device to be charged. The base is disposed within the housing. The first drive assembly is disposed on the base. The second drive assembly includes a drive bracket and a moving member, the drive bracket is disposed at an output end of the first drive assembly, the output end of the first drive assembly is capable of performing a rotary motion, and the moving member is capable of performing a linear motion along an extension direction of the drive bracket. The charging coil is disposed in the moving member.

Abstract: Implementations of the present specification provide a federated learning method and apparatus based on a graph neural network, and a federated learning system. In the federated learning method, each first member device performs mining of graph nodes and mining of a relationship among graph nodes on local spatial-temporal data to generate graph-structured data; trains a local graph neural network model by using the graph-structured data, to obtain update amount information; and sends the update amount information to a second member device; and the second member device receives the update amount information sent by each first member device; obtains combined update amount information based on the received update amount information; and separately sends corresponding model update information to each first member device based on the combined update amount information for each first member device to update the local graph neural network model based on the corresponding model update information.