PATENT CLAIM ANALYSIS

Application Number: 15980196
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["718", "106000"]

Abstract:
A computer-implemented method and computer processing system are provided. The method includes synchronizing, by a processor, respective ones of a plurality of data parallel workers with respect to an iterative distributed machine learning process. The synchronizing step includes individually continuing, by the respective ones of the plurality of data parallel workers, from a current iteration to a subsequent iteration of the iterative distributed machine learning process, responsive to a satisfaction of a predetermined condition thereby. The predetermined condition includes individually sending a per-receiver notification from each sending one of the plurality of data parallel workers to each receiving one of the plurality of data parallel workers, responsive to a sending of data there between. The predetermined condition further includes individually sending a per-receiver acknowledgement from the receiving one to the sending one, responsive to a consumption of the data thereby.

Claim (Index 4):
The computer-implemented method of  claim 1 , wherein the per-receiver notification notifies the receiving one of the plurality of data parallel workers of a transmission of updated data thereto.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.66667
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15480874', '14872521', '15208526', '12055967', '15429216']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4528835106340566
- 35 USC 102 Novelty (BERT): 0.5406663482722252
- Combined Prediction Score: 0.4616617943978734
- Mean Citation Score: 199.524832
- Max Citation Score: 319.5214200000001
- Similarity Product: 261.67058057932024

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test