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 18:
19. A non-transitory computer-readable storage medium storing instructions that, when executed by one or more first processors, cause the one or more first processors to perform operations for applying dynamic differential privacy enhancements to federated learning, the operations comprising:
introducing noise to a first set of input data corresponding to a first data owner to obtain noisy data corresponding to the first data owner, wherein the noise introduced to the first set of input data corresponds to and satisfies a first privacy loss requirement;
generating, based on the noisy data corresponding to the first data owner, a machine learning model corresponding to the first data owner to produce model data corresponding to the first data owner;
introducing noise to the model data corresponding to the first data owner, wherein the noise introduced to the model data corresponding to the first data owner corresponds to and satisfies a second privacy loss requirement;
transmitting the model data corresponding to the first data owner to a coordinator;
receiving aggregated model data from the coordinator; and
updating the machine learning model corresponding to the first data owner based on the aggregated model data received from the coordinator.