Data protection distributed learning
AssigneeInternational Business Machines Corporation
InventorSubhro Das
Life of this patent
Estimating the term…
Abstract
Systems, computer-implemented methods, and computer program products to facilitate data protection distributed learning are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a local parameter component that employs an agent to compute local model parameters based on data of the agent. The computer executable components can further comprise a global parameter component that employs the agent to estimate a global model parameter based on the local model parameters and model parameters of one or more neighbor agents.
Claims20
A system, comprising:
- a memory that stores computer executable components;
- and
- a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
- a local parameter component that employs an agent to compute local model parameters based on data of the agent;
- and
- a global parameter component that employs the agent to estimate a global model parameter based on the local model parameters and model parameters of one or more neighbor agents.
A computer-implemented method, comprising:
- employing, by a system operatively coupled to a processor, an agent to compute local model parameters based on data of the agent;
- and
- employing, by the system, the agent to estimate a global model parameter based on the local model parameters and model parameters of one or more neighbor agents.
A non-transitory computer program product facilitating data protection distributed learning, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
- employ, by the processor, an agent to compute local model parameters based on data of the agent;
- and
- employ, by the processor, the agent to estimate a global model parameter based on the local model parameters and model parameters of one or more neighbor agents.
Dependencies are inferred from the claim text.