Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action:
A person shall be entitled to a patent unless –
(a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention.
Claims 1,7,8, 18, and 20 are rejected under 35 U.S.C. 102(a1) as being anticipated by Khavronin et al. (2022/0188700).
For independent claim 1, Khavronin et al. (2022/0188700) discloses a system/method comprising:
a first device, comprising: one or more memories storing processor-executable code; and one or more processors coupled with the one or more memories and individually or collectively operable to execute the code to cause the first device to ( See box 124 and box 104 in Figure 1):
obtain a set of consistency constraints associated with monitoring a machine learning model, the machine learning model associated with a set of training information comprising a first plurality of data instances ( See paragraphs 0013 lines 1-10, 0021 lines 1-12, and 0024 lines 1-7) , wherein:
the set of consistency constraints are associated with the first plurality of data instances within the set of training information and a second plurality of data instances within a set of inference information being in accordance with consistent parameter values ( See paragraphs 0022 lines 1-9, 0021 lines 1-10, 0027 lines 1-8, and 0035 lines 1-15);
monitor the machine learning model in response to the first plurality of data instances and the second plurality of data instances satisfying the set of consistency constraints( See paragraphs 0022 lines 1-9, 0021 lines 1-10, 0027 lines 1-8, and 0035 lines 1-15); and
perform wireless communications in accordance with monitoring the machine learning model ( See paragraph 0042 lines 1-4).
For independent claims 18 and 20 are rejected for the same reason as claim 1.
For dependent claims 7 and 8, Khavronin et al. (2022/0188700) also discloses:
wherein the one or more processors are individually or collectively further operable to execute the code to cause the first device to:
communicate one or more messages indicative of a set of measurement resources to be used by the first device for measurements associated with the second plurality of data instances, wherein the set of measurement resources are in accordance with the set of consistency constraints( See paragraphs 0022 lines 1-9, 0021 lines 1-10, 0027 lines 1-8, and 0035 lines 1-15) and
wherein, to obtain the set of consistency constraints, the one or more processors are individually or collectively operable to execute the code to cause the first device to: receive one or more messages indicative of the set of consistency constraints( See box 124 and box 104 in Figure 1).
Claims 2-6,9-17 , and 19 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims.
The prior art made of record and not relied upon is considered pertinent to applicant's disclosure.
Khawronin et al. (2022/0279220) is cited to show a system which is considered pertinent to the claimed invention.
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/DANG T TON/Primary Examiner, Art Unit 2476 /D.T.T/Primary Examiner, Art Unit 2476
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