Capital one services, llc (20240428132). SYSTEMS AND METHODS FOR GENERATING FEDERATED LEARNING MODELS
SYSTEMS AND METHODS FOR GENERATING FEDERATED LEARNING MODELS
Organization Name
Inventor(s)
Jeremy Goodsitt of Champaign IL (US)
Michael Davis of Arlington VA (US)
Taylor Turner of Richmond VA (US)
Tyler Farnan of San Diego CA (US)
SYSTEMS AND METHODS FOR GENERATING FEDERATED LEARNING MODELS
This abstract first appeared for US patent application 20240428132 titled 'SYSTEMS AND METHODS FOR GENERATING FEDERATED LEARNING MODELS
Original Abstract Submitted
methods and systems for generating federated learning models. in some aspects, the system receives, from each client device, user data profiles that are anonymized with respect to users associated with user data stored locally at a client device. the system processes the user data profiles to generate a plurality of clusters. for each cluster, the system transmits, to one or more client devices corresponding to a cluster, a first instruction to train a machine learning model on user data corresponding to user data profiles included in the cluster and a second instruction to validate the machine learning model with respect to user data corresponding to one or more clusters of the plurality of clusters other than the cluster to generate a prediction accuracy metric. the system determines, from the plurality of clusters, a first cluster based on associated prediction accuracy metrics.
