US 2021/0174243 A1 · EFFICIENT PRIVATE VERTICAL FEDERATED LEARNING

Abstract

Systems and techniques that facilitate universal and efficient privacy-preserving vertical federated learning are provided. In various embodiments, a key distribution component can distribute respective feature-dimension public keys and respective sample-dimension public keys to respective participants in a vertical federated learning framework governed by a coordinator, wherein the respective participants can send to the coordinator respective local model updates encrypted by the respective feature-dimension public keys and respective local datasets encrypted by the respective sample-dimension public keys. In various embodiments, an inference prevention component can verify a participant-related weight vector generated by the coordinator, based on which the key distribution component can distribute to the coordinator a functional feature-dimension secret key that can aggregate the encrypted respective local model updates into a sample-related weight vector. In various embodiments, the inference prevention component can verify the sample-related weight vector, based on which the key distribution component can distribute to the coordinator a functional sample-dimension secret key that can aggregate the encrypted respective local datasets into an update value for a global model.

Claims20

Dependent claims

A system, comprising:

a memory that stores computer-executable components;
and
a processor, operably coupled to the memory, that executes the computer-executable components stored in the memory, wherein the computer-executable components comprise:
a key distribution component that distributes functional encryption public keys to respective participants in a vertical federated learning framework governed by a coordinator;
and
an inference prevention component that verifies query vectors generated by the coordinator, based on which the key distribution component distributes functional encryption secret keys to the coordinator.

3 more elements

A computer-implemented method, comprising:

distributing, by a device operatively coupled to a processor, functional encryption public keys to respective participants in a vertical federated learning framework governed by a coordinator;
and
verifying, by the device, query vectors generated by the coordinator, and accordingly distributing functional encryption secret keys to the coordinator.

A computer program product for facilitating universal and efficient privacy-preserving vertical federated learning, the computer program product comprising a computer readable memory having program instructions embodied therewith, the program instructions executable by a processing component to cause the processing component to:

distribute functional encryption public keys to respective participants in a vertical federated learning framework governed by a coordinator;
and
verify query vectors generated by the coordinator, and accordingly distribute functional encryption secret keys to the coordinator.

Dependencies are inferred from the claim text.

Efficient private vertical federated learning

Life of this patent

Efficient private vertical federated learning

Life of this patent

Abstract

Claims20