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公开(公告)号:US20250037031A1
公开(公告)日:2025-01-30
申请号:US18914048
申请日:2024-10-11
Applicant: VIVO MOBILE COMMUNICATION CO., LTD.
Inventor: Bule SUN
IPC: G06N20/00
Abstract: This application discloses a method and apparatuses for adjusting a model, a method and apparatus for transmitting information, and related devices. The method for adjusting a model includes: executing, by a first device, a model adjustment operation on a first Artificial Intelligence (AI) model. The model adjustment operation includes one of the following: finetuning the first AI model; switching the first AI model into a second AI model; falling back to a target functional module for operation, where the target functional module is a module that does not use an AI model; finetuning the first AI model, and switching the first AI model into a second AI model; finetuning the first AI model, and falling back to the target functional module for operation; or stopping execution of a first function, where the first function is a function that is completed by the first AI model.
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公开(公告)号:US20250036978A1
公开(公告)日:2025-01-30
申请号:US18914254
申请日:2024-10-13
Applicant: VIVO MOBILE COMMUNICATION CO., LTD.
IPC: G06N5/04
Abstract: This application discloses a model fine-tuning method and apparatus, and a device. The model fine-tuning method includes: obtaining, by a first device, first target information; fine-tuning, by the first device, the first Artificial Intelligence (AI) model based on the first information or the second information. The first target information includes first information and/or second information, the first information at least includes fine-tuning configuration-related information of a first AI model, and the second information at least includes fine-tuning mode information of the first AI model.
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公开(公告)号:US20250037034A1
公开(公告)日:2025-01-30
申请号:US18915774
申请日:2024-10-15
Applicant: VIVO MOBILE COMMUNICATION CO., LTD.
IPC: G06N20/00
Abstract: This application discloses a model determining method and apparatus, an information transmission method and apparatus, and a related device. The model determining method in embodiments of this application includes: running, by a first device, a plurality of artificial intelligence AI models in parallel, where functions implemented by models in the plurality of AI models are the same; evaluating, by the first device, running results of the plurality of AI models running in parallel, to obtain an evaluation result; and determining, by the first device, a target model from the plurality of AI models based on the evaluation result.
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公开(公告)号:US20240146359A1
公开(公告)日:2024-05-02
申请号:US18398946
申请日:2023-12-28
Applicant: VIVO MOBILE COMMUNICATION CO., LTD.
Inventor: Bule SUN , Hao LIU , Dajie JIANG
IPC: H04B7/0413 , H04L1/00 , H04L5/00
CPC classification number: H04B7/0413 , H04L1/0058 , H04L5/0048
Abstract: This application discloses a transmission processing method and apparatus, a communication device, and a readable storage medium, and pertains to the field of communications technologies. The transmission processing method in embodiments of this application includes: splitting, by a transmit end, a delay-Doppler domain resource block corresponding to each antenna in L antennas into L sub-blocks of equal size, L being an integer greater than 1; and performing, by the transmit end, delay-Doppler domain block encoding on the L antennas at the granularity of sub-block.
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公开(公告)号:US20250038801A1
公开(公告)日:2025-01-30
申请号:US18912562
申请日:2024-10-10
Applicant: VIVO MOBILE COMMUNICATION CO., LTD.
IPC: H04B7/0456
Abstract: This application discloses methods for transmitting information, a terminal, and a network side device. The method for transmitting information includes: transmitting, by a second device, a first signal to a first device. The first signal is generated precoding a signal mapped on N sub-blocks of a first signal domain corresponding to the sub-blocks, and then transforming the precoded signal into a time-frequency domain. The first signal domain is a delay-Doppler domain, the first signal domain is divided into the N sub-blocks, and N is a positive integer greater than or equal to 2.
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公开(公告)号:US20240357382A1
公开(公告)日:2024-10-24
申请号:US18759827
申请日:2024-06-29
Applicant: VIVO MOBILE COMMUNICATION CO., LTD.
IPC: H04W24/02 , H04L5/00 , H04W74/0833
CPC classification number: H04W24/02 , H04L5/0051 , H04W74/0833
Abstract: A communication model configuration method and apparatus, and a communication device. The method includes: obtaining, by a first communication device, artificial intelligence AI model configuration information; where the AI model configuration information includes at least one of the following: first information, where the first information is used to indicate a basic communication procedure, and the basic communication procedure includes one functional unit or at least two series-connected functional units; second information, where the second information is used to indicate a functional unit in the basic communication procedure; third information, where the third information is used to indicate an AI model module, and an AI model in the AI model module is used for executing a function of a corresponding functional unit; and fourth information, where the fourth information is used to indicate an input reference point and an output reference point of the AI model module.
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公开(公告)号:US20240330776A1
公开(公告)日:2024-10-03
申请号:US18742443
申请日:2024-06-13
Applicant: VIVO MOBILE COMMUNICATION CO., LTD.
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: A client screening method and apparatus, a client, and a central device are provided, relating to the field of communication technologies. The client screening method includes: sending, by a central device, a first instruction to a client, to indicate the client to participate in model training of specific federated learning or federated meta learning (101); and receiving, by the central device, a training result reported by the client, where the training result is a result or an intermediate result after the client performs a round of model training (102).
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公开(公告)号:US20250037030A1
公开(公告)日:2025-01-30
申请号:US18914047
申请日:2024-10-11
Applicant: VIVO MOBILE COMMUNICATION CO., LTD.
IPC: G06N20/00
Abstract: This application discloses a method for determining a model input and a communication device. The method for determining the model input includes: a first communication device determines an input of an AI model based on configuration information of the AI model. The configuration information is used to instruct to select N elements from a first domain as the input of the AI model. N is an integer greater than or equal to 1, the first domain includes M elements, and M is an integer greater than N.
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公开(公告)号:US20250015853A1
公开(公告)日:2025-01-09
申请号:US18891169
申请日:2024-09-20
Applicant: VIVO MOBILE COMMUNICATION CO., LTD.
IPC: H04B7/06 , H04B17/309 , H04L5/00
Abstract: This application discloses a channel information transmission method and apparatus, and a communication device. The channel information transmission method according to an embodiment of this application includes: in a case that a first signal is received, determining, by a first communication device, channel information of a first channel based on the first signal; and sending, by the first communication device, the channel information of the first channel to a second communication device; where the first channel is a channel that the first signal goes through, the channel information of the first channel includes information of a channel from at least one antenna port of a third communication device to at least one antenna port of the first communication device, the third communication device being a device that sends the first signal.
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公开(公告)号:US20240330775A1
公开(公告)日:2024-10-03
申请号:US18742208
申请日:2024-06-13
Applicant: VIVO MOBILE COMMUNICATION CO., LTD.
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: A data collection method and apparatus, a first device, and a second device. The data collection method in an embodiment of this application includes: sending, by a first device, a first instruction to a second device, instructing the second device to collect and report training data for training a specific AI model; receiving, by the first device, training data reported by the second device; and constructing, by the first device, a data set using the training data and training the specific AI model.
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