Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 6
1697-1701

Clustering federated learning based on data distribution

Chang Liming
Liu Yanhong
Xu Shuzhen
College of Software, Henan University, Kaifeng Henan 475000, China
DOI: 10.19734/j.issn.1001-3695.2022.11.0554

Abstract

Federated learning is designed to solve the problem of data fragmentation and data isolation based on privacy protection in distributed machine learning. In the federated learning system, participants collaboratively train a model. Each participant uses local data to train the local model, and uploads the trained local model to the server for aggregation. In the real application environment, the data distribution between nodes is often very different, resulting in the accuracy of federated learning model is low. In order to solve the influence of non-independent identically distributed data on the accuracy of the model, this paper proposed a clustering federated learning framework by using the similarity of data distribution between different nodes. Extensive experiments were conducted on Synthetic, CIFAR-10 and FEMNIST standard datasets. Compared with other federated learning methods, clustering federated learning based on data distribution greatly improves the accuracy of the model and requires less computation.

Foundation Support

国家自然科学基金资助项目(12201185)
河南省科技攻关项目(212102210099,212102210133)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0554
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 6
Section: Algorithm Research & Explore
Pages: 1697-1701
Serial Number: 1001-3695(2023)06-015-1697-05

Publish History

[2023-01-17] Accepted Paper
[2023-06-05] Printed Article

Cite This Article

常黎明, 刘颜红, 徐恕贞. 基于数据分布的聚类联邦学习 [J]. 计算机应用研究, 2023, 40 (6): 1697-1701. (Chang Liming, Liu Yanhong, Xu Shuzhen. Clustering federated learning based on data distribution [J]. Application Research of Computers, 2023, 40 (6): 1697-1701. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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