20250190814. System Met (Nokia Solutions and Networks Oy)

SYSTEM AND METHOD FOR HYBRID FEDERATED LEARNING WITH TRUSTED EXECUTION ENVIRONMENT (TEE) CLIENTS AND NON-TEE CLIENTS

Abstract: a server for hybrid federated learning with trusted execution environment (tee) client devices and non-tee client devices may determine an initial set of global model weights associated with a desired machine learning algorithm, transmit the initial set of global model weights to a plurality of client devices, the plurality of client devices including a plurality of tee client devices and a plurality of non-tee client devices, the initial set of global model weights enabling each of the plurality of client devices to generate encoded gradient information based on data collected by each respective client device and pseudo-random noise generated by the respective client device, receive the encoded gradient information from each of the plurality of client devices, and determine an updated set global model weights based on the encoded gradient information.

Inventor(s): Buvaneswari RAMANAN, Manzoor Khan, Brian Friedman, Lawrence Drabeck

CPC Classification: G06N3/098 (Distributed learning, e.g. federated learning)

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