Model updating method and apparatus, storage medium, terminal and network device
AssigneeSpreadtrum Communications (Shanghai) Co., Ltd.
InventorsXiaoyu Chen, Lifeng Han
Life of this patent
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Abstract
A model updating method and apparatus, a storage medium, a terminal, and a network device are provided. The method includes: determining whether an update for a locally deployed model is required; and cooperating with a network to update the locally deployed model based on determining that the update for the locally deployed model is required.
Claims19
A model updating method, comprising:
- detecting performance of a locally deployed model, wherein the locally deployed model is used to enhance communication network functions or calculation of signals and/or parameters in communication;
- determining whether an update for the locally deployed model is required, wherein said determining whether the update for the locally deployed model is required comprises:
- determining that the update for the locally deployed model is required in response to the performance of the locally deployed model falling below an expected threshold;
- cooperating with a network to update the locally deployed model based on determining that the update for the locally deployed model is required;
- and
- when the updating the locally deployed model, first falling back to use a traditional communication algorithm or use other alternative local artificial intelligence (AI) models.
A non-transitory storage medium storing one or more programs, the one or more programs comprising computer instructions, which, when executed by a processor, cause the processor to:
- detect performance of a locally deployed model, wherein the locally deployed model is used to enhance communication network functions or calculation of signals and/or parameters in communication;
- determine whether an update for the locally deployed model is required, wherein said determining whether the update for the locally deployed model is required comprises:
- determining that the update for the locally deployed model is required in response to the performance of the locally deployed model falling below an expected threshold;
- cooperate with a network to update the locally deployed model based on determining that the update for the locally deployed model is required;
- and
- when the updating the locally deployed model, first fall back to use a traditional communication algorithm or use other alternative local artificial intelligence (AI) models.
A terminal, comprising a memory and processor, wherein the memory stores one or more programs, the one or more programs comprising computer instructions, which, when executed by the processor, cause the processor to:
- detect performance of a locally deployed model, wherein the locally deployed model is used to enhance communication network functions or calculation of signals and/or parameters in communication;
- determine whether an update for the locally deployed model is required, wherein said determining whether the update for the locally deployed model is required comprises:
- determining that the update for the locally deployed model is required in response to the performance of the locally deployed model falling below an expected threshold;
- cooperate with a network to update the locally deployed model based on determining that the update for the locally deployed model is required;
- and
- when the updating the locally deployed model, first fall back to use a traditional communication algorithm or use other alternative local artificial intelligence (AI) models.
Dependencies are inferred from the claim text.