Patent ID: 11907403
Assignee: HONG KONG APPLIED SCIENCE AND TECHNOLOGY RESEARCH INSTITUTE CO., LTD
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 19:
20. The non-transitory computer-readable storage medium of claim 19, wherein the instructions, when executed by one or more second processors, cause the one or more second processors to perform operations for applying dynamic differential privacy enhancements to federated learning, the operations comprising:
receiving, at the coordinator, the model data corresponding to a first data owner;
receiving, at the coordinator, model data corresponding to one or more other data owners, wherein the model data corresponding to one or more other data owners are produced from machine learning models generated by the one or more other data owners based on noisy data corresponding to the one or more other data owners, wherein the noisy data corresponding to the one or more other data owners comprises one or more second sets of input data with noise corresponding to and satisfying the first privacy loss requirement introduced, and wherein the model data corresponding to the one or more other data owners include noise corresponding to and satisfying the second privacy loss requirement introduced;
introducing noise corresponding to and satisfying a third privacy loss requirement to the received model data corresponding to the first data owner and to the one or more other data owners;
aggregating received model data corresponding to the first data owner and to the one or more other data owners; and
distributing the aggregated model data to at least one of the first data owner and the one or more other data owners to facilitate subsequent modelling iterations of the machine learning models corresponding to the first data owner and the one or more other data owners.