Federated Model Transmission Using Channel-Aware Lightweight Processing

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Solution Overview

Problem

In federated learning, the use of lightweight methods for model parameter transmission results in either reduced precision or wasteful resource usage due to mismatched uplink transmission capabilities and compression ratios, leading to inefficiencies and accuracy issues.

Innovation Solution

A method where a network device determines policy information based on uplink channel state information to match the terminal device's capabilities, guiding lightweight processing to align with transmission capabilities, thereby reducing precision loss and optimizing resource use.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If a lightweight method with high compression ratio is used, then transmission resources are saved, but model precision is greatly affected

Engineering Contradiction:
Improvetransmission resourcesVSAvoidmodel precision
Core Design Contradiction:
Loss of energyVSMeasurement precision

Solution Approach 1:

The patent implements dynamic selection of lightweight methods and policy configurations based on uplink transmission rate conditions. The network device determines appropriate lightweight processing parameters by evaluating current channel state information, allowing the system to adapt compression ratios to transmission conditions rather than using a fixed high compression ratio, thus balancing resource savings with precision maintenance

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes key parameters including compression ratio, lightweight method type, and policy configuration based on uplink transmission rate conditions. By adjusting these parameters dynamically according to channel state, the system optimizes the balance between transmission efficiency and model precision for different network conditions

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If a lightweight method with low compression ratio is used, then model precision is maintained, but transmission resources are wasted and efficiency is reduced

Engineering Contradiction:
Improvemodel precisionVSAvoidtransmission efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The system dynamically adjusts the compression ratio and lightweight method selection based on real-time uplink transmission rate conditions. When transmission conditions are good, lower compression ratios are used to maintain precision; when conditions are poor, higher compression ratios are applied to improve efficiency, achieving optimal balance adaptively

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent modifies transmission parameters including compression ratio and lightweight processing configuration based on channel state evaluation. This parameter adaptation allows the system to use lower compression ratios when transmission capacity is sufficient, maintaining precision while avoiding unnecessary resource waste

Inventive Principle:
Principle #35Parameter changes

3Speed

If lightweight processing is performed without considering uplink transmission capability, then processing speed is improved, but transmission delay requirements cannot be met and precision is lost

Engineering Contradiction:
Improveprocessing speedVSAvoidtransmission delay requirement
Core Design Contradiction:
SpeedVSReliability

Solution Approach 1:

The network device performs preliminary evaluation of uplink channel state information before determining lightweight processing parameters. This advance assessment allows the system to pre-select appropriate compression ratios and methods that will meet transmission delay requirements, preventing precision loss and delay violations

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from uplink channel state information to adjust lightweight processing configurations. By continuously monitoring transmission conditions and adapting parameters accordingly, the system ensures that processing speed optimizations do not compromise transmission delay requirements or model precision

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12543138B2Information transmission method, lightweight processing method, and related communication apparatus
Publication Date: 2026.02.03 HUAWEI TECH CO LTD
  • US12543138B2 patent drawing
  • US12543138B2 patent drawing
  • US12543138B2 patent drawing

AI summary

This application provides a method and a related communication apparatus applicable to the communication field. In the method, a network device receives a first notification message sent by a terminal device, where the first notification message indicates that the terminal device has completed training on a target model, and the first notification message includes a model name corresponding to the target model. The network device then determines policy information based on the uplink channel state information of the terminal device; and sends a lightweight indication message to the terminal device.