A survey of federated learning for 6G networks

Guanglei GENG; Bo GAO; Ke XIONG; Pingyi FAN; Yang LU; Yuwei WANG

doi:10.11959/j.issn.2096-3750.2023.00323

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A survey of federated learning for 6G networks

Theory and Technology | 更新时间：2024-08-16

- A survey of federated learning for 6G networks
- Chinese Journal on Internet of Things Vol. 7, Issue 2, Pages: 50-66(2023)
- 作者机构：
  
  1. 北京交通大学计算机与信息技术学院，北京 100044
  2. 北京交通大学高速铁路网络管理教育部工程研究中心，北京 100044
  3. 清华大学北京信息科学与技术国家研究中心，北京 100084
  4. 中国科学院计算技术研究所，北京 100190
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2023.00323
  CLC： TP393,TN92
- Online First：2023-06，
  
  Published：30 June 2023
- 稿件说明：
移动端阅览
Guanglei GENG, Bo GAO, Ke XIONG, et al. A survey of federated learning for 6G networks[J]. Chinese Journal on Internet of Things, 2023, 7(2): 50-66.
DOI：

Guanglei GENG, Bo GAO, Ke XIONG, et al. A survey of federated learning for 6G networks[J]. Chinese Journal on Internet of Things, 2023, 7(2): 50-66. DOI： 10.11959/j.issn.2096-3750.2023.00323.

摘要

基于内生人工智能（AI

artificial intelligence）在大规模复杂异构网络中实现万物智联是6G的重要特征之一。联邦学习（FL

federated learning）因其数据处理本地化这一特有的机器学习架构，被认为是在6G场景中实现分布式泛在智联的重要途径，已成为6G的重要研究方向。为此，首先分析了在未来6G，特别是物联网（IoT

internet of things）场景中引入分布式AI的必要性，以此为基础论述了FL在满足相关6G指标要求的潜力，并从架构设计、资源利用、数据传输、隐私保护、服务提供角度综述了FL如何赋能6G网络，最后给出了FL赋能6G研究存在的一些关键挑战和未来有价值的研究方向。

Abstract

It is an important feature of the 6G that how to realize everything interconnection through large-scale complex heterogeneous networks based on native artificial intelligence (AI).Thanks to the distinct machine learning architecture of data processing locally

federated learning (FL) is regarded as one of the promising solutions to incorporate distributed AI in 6G scenarios

and has become a critical research direction of 6G.Therefore

the necessity of introducing distributed AI into the future 6G especially for internet of things (IoT) scenarios was analyzed.And then

the potentials of FL in meeting the 6G requirements were discussed

and the state-of-the-arts of FL related technologies such as architecture design

resource utilization

data transmission

privacy protection

and service provided for 6G were investigated.Finally

several key technical challenges and potential valuable research directions for FL-empowered 6G were put forward.

关键词

Keywords

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