Invention Grant
- Patent Title: Distribution of parameter calculation for iterative optimization methods
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Application No.: US14691362Application Date: 2015-04-20
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Publication No.: US09355067B1Publication Date: 2016-05-31
- Inventor: Rajat Monga , Xiaoyun Wu , Andrew Yan-Tak Ng
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06N99/00
- IPC: G06N99/00 ; G06F17/00 ; G06F17/50 ; G06F17/10

Abstract:
Systems and methods are disclosed for distributed first- or higher-order model fitting algorithms. Determination of the parameter set for the objective function is divided into a plurality of sub-processes, each performed by one of a plurality of worker computers. A master computer coordinates the operation of the plurality of worker computers, each operating on a portion of the parameter set such that no two worker computers contain exactly the same parameter subset nor the complete parameter set. Each worker computer performs its sub-processes on its parameter subset, together with training data. For maximum efficiency, the sub-processes are performed using a compact set of instruction primitives. The results are evaluated by the master computer, which may coordinate additional sub-process operations to perform higher-order optimization or terminate the optimization method and proceed to formulation of a model function.
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