Agent architecture of an intelligent medical system based on federated learning and blockchain technology

Dawid Połap, Gautam Srivastava*, Keping Yu

*この研究の対応する著者

研究成果: Article査読

39 被引用数 (Scopus)

抄録

Multi-agent systems enable the division of complicated tasks into individual objects that can cooperate. Such architecture can be useful in building solutions in the Internet of Medical Things (IoMT). In this paper, we propose an architecture of such a system that ensures the security of private data, as well as allows the addition and/or modification of the used classification methods. The main advantages of the proposed system are based on the implementation of blockchain technology elements and threaded federated learning. The individual elements are located on the agents who exchange information. Additionally, we propose building an agent with a consortium mechanism for classification results from many machine learning solutions. This proposal offers a new model of agents that can be implemented as a system for processing medical data in real-time. Our proposition was described and tested to present advantages over other, existing state-of-the-art methods. We show, that this proposition can improve the Internet of Medical Thing solutions by presenting a new idea of a multi-agent system that can separate different tasks like security, or classification and as a result minimize operation time and increase accuracy.

本文言語English
論文番号102748
ジャーナルJournal of Information Security and Applications
58
DOI
出版ステータスPublished - 2021 5月

ASJC Scopus subject areas

  • ソフトウェア
  • 安全性、リスク、信頼性、品質管理
  • コンピュータ ネットワークおよび通信

フィンガープリント

「Agent architecture of an intelligent medical system based on federated learning and blockchain technology」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル