Wireless Model Parameter Transfer for Lower Training Overhead
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently determining parameters for multiple models due to high resource consumption during data transmission.
Innovation Solution
Implementing a method and apparatus that utilize a first device to determine and transmit parameters for multiple models, and a second device to receive and generate outputs based on these models, utilizing processors and memory to facilitate efficient parameter determination and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is transmitted to train multiple models in wireless communication systems, then model training capability is improved, but resource consumption increases
Solution Approach 1:
The patent segments the model training process by determining parameters for multiple models separately at a first device, then transmitting only the necessary parameter sets to a second device. This divides the原本 monolithic training process into modular parameter determination and model generation stages, reducing the amount of data that needs to be transmitted while maintaining the capability to train multiple models.
Solution Approach 2:
The patent applies preliminary action by pre-determining parameter sets for multiple models at the first device before transmission. By preparing all necessary model parameters in advance and organizing them into structured parameter sets, the system reduces the need for repeated data transmission during the training process, thereby conserving wireless communication resources.
2Adaptability or versatility
If parameters for multiple models are determined and transmitted, then model functionality is improved, but transmission overhead increases
Solution Approach 1:
The patent merges multiple model parameter sets into a unified parameter determination process at the first device. By consolidating the parameters for multiple models into organized parameter sets that can be transmitted together, the system reduces the total transmission overhead compared to sending each model's parameters separately, while still enabling the second device to generate multiple functional models.
Data Source
AI summary
Apparatuses, methods, and systems are disclosed for determining parameters for multiple models for wireless communication systems. One method (600) includes determining (602), at a first device, using a first set of information, a set of parameters including first information corresponding to a first model and a second model. The method (600) includes transmitting (604), to a second device, a second set of information including second information for the first model or the second model.


