Patent ID: 11934555
Assignee: SIEMENS HEALTHINEERS AG
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 16:
17. A system for federated learning, the system comprising:
a plurality of collaborator computing devices, each collaborator computing device of the plurality of collaborator computing devices configured to acquire sample data, anonymize the sample data, and transmit the anonymized sample data to a curation server for validation, each collaborator computing device further configured to train a local machine learned model using validated sample data, update local model weights for the local machine learned model, and send the updated local model weights to an aggregation server;
a curation server configured to receive the anonymized sample data and validate sample data that meets one or more data selection conditions; and
the aggregation server configured to receive the updated model weights from the plurality of collaborator computing devices, calculate aggregated model weights, and transmit the aggregated model weights to the plurality of collaborator computing devices to update the local machine learned model.