Federated learning mechanism
AssigneeIntel Corporation
InventorsRaizy Kellerman, Alex Nayshtut, Omer Ben-Shalom, Oleg Pogorelik
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Abstract
An apparatus is disclosed. The apparatus comprises one or more processors to generate measurement matrices for a plurality of edge devices in a federated learning system, transmit the matrices to the plurality of edge devices, receive sampled trained model update data from the plurality of edge devices and reconstruct the sampled trained model update data using the measurement matrices to generate the trained model update data.
Claims20
An apparatus comprising:
- one or more processors to generate measurement matrices for a plurality of edge devices in a federated learning system, transmit the matrices to the plurality of edge devices, receive sampled trained model update data from the plurality of edge devices and reconstruct the sampled trained model update data using the measurement matrices to generate the trained model update data.
An apparatus comprising:
- one or more processors to receive a model, train the model using a machine learning algorithm to generate trained model update data and sample the data using a measurement matrix to generate sampled trained model update data.
A method comprising:
- generating measurement matrices for a plurality of edge devices in a federated learning system;
- transmitting the matrices to the plurality of edge devices;
- receive sampled trained model update data from the plurality of edge devices;
- and
- reconstructing the sampled trained model update data using the measurement matrices to generate the trained model update data.
At least one computer readable medium having instructions stored thereon, which when executed by one or more processors, cause the processors to:
- generate measurement matrices for a plurality of edge devices in a federated learning system;
- transmit the matrices to the plurality of edge devices;
- receive sampled trained model update data from the plurality of edge devices;
- and
- reconstruct the sampled trained model update data using the measurement matrices to generate the trained model update data.
Dependencies are inferred from the claim text.