Last updated: July 17, 2026

Application No. 18/495,528

APPARATUS AND METHOD FOR DISTRIBUTED NEURAL NETWORKS

Non-Final OA

Filed

Oct 26, 2023

Priority

Apr 26, 2021 — continuation of PCTEP2021060804

Examiner

NILSSON, ERIC

Art Unit

2151

Tech Center

2100 — Computer Architecture & Software

Assignee

Huawei Technologies Co., Ltd.

OA Round

1 (Non-Final)

Interview Optional

— +17.3% interview lift. Examiner has a relatively high allowance rate (83%); +17.3% interview lift. A written response may suffice.

Based on 510 resolved cases, 2023–2026

Examiner Intelligence

NILSSON, ERIC View full profile →

Grants 83% — above average

Career Allowance Rate

422 granted / 510 resolved

+27.7% vs TC avg

Strong +17% interview lift

Without

With

+17.3%

Interview Lift

resolved cases with interview

Typical timeline

3y 1m

Avg Prosecution

26 currently pending

Career history

533

Total Applications

across all art units

Statute-Specific Performance

§101

13.9%

-26.1% vs TC avg

§103

65.2%

+25.2% vs TC avg

§102

7.4%

-32.6% vs TC avg

§112

1.3%

-38.7% vs TC avg

Black line = Tech Center average estimate • Based on career data from 510 resolved cases

Prosecution Timeline

Oct 26, 2023

Application Filed

Jan 30, 2024

Response after Non-Final Action

Apr 21, 2026

Non-Final Rejection mailed (current)

Precedent Cases

Applications granted by this same examiner with similar technology

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3y 11m to grant Granted Jul 07, 2026

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Patent 12670397

MACHINE LEARNING METHOD AND PRUNING METHOD

3y 7m to grant Granted Jun 30, 2026

18/246,782

Patent 12670443

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3y 3m to grant Granted Jun 30, 2026

17/988,322

Patent 12657467

METHOD OF SLICING DEEP LEARNING MODEL FOR HETEROGENEOUS EMBEDDED SYSTEM AND INFERENCING METHOD BASED ON SLICED DEEP LEARNING MODEL IN HETEROGENEOUS EMBEDDED SYSTEM

3y 7m to grant Granted Jun 16, 2026

18/211,153

Patent 12626169

BAYESIAN CAUSAL RELATIONSHIP NETWORK MODELS FOR HEALTHCARE DIAGNOSIS AND TREATMENT BASED ON PATIENT DATA

2y 11m to grant Granted May 12, 2026

Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.

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Prosecution Projections

1-2

Expected OA Rounds

83%

Grant Probability

99%

With Interview (+17.3%)

3y 1m (~4m remaining)

Median Time to Grant

Low

PTA Risk

Based on 510 resolved cases by this examiner. Grant probability derived from career allowance rate.