METHODS AND APPARATUS FOR DISTRIBUTED USE OF A MACHINE LEARNING MODEL
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United States of America
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Issued Date -
Feb 20, 2025
app pub date -
Nov 6, 2024
filing date -
Nov 6, 2024
priority date (Note) -
Published
status (Latency Note)
Importance
Abstract
Methods, apparatus, systems and articles of manufacture for distributed use of a machine learning model are disclosed. An example edge device includes a model partitioner to partition a machine learning model received from an aggregator into private layers and public layers. A public model data store is implemented outside of a trusted execution environment of the edge device. The model partitioner is to store the public layers in the public model data store. A private model data store is implemented within the trusted execution environment. The model partitioner is to store the private layers in the private model data store.
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