A CBR-Based Emergency Plan Generation Method Under the Federated Learning Framework

DOI

10.2991/978-94-6463-034-3_9How to use a DOI?

Keywords

Emergency decision-making; Federated learning; CBR; K-means

Abstract

In order to use the emergency case data of multiple industrial enterprises to support the decision-making of target cases on the premise of protecting data privacy, this paper proposes a CBR-based emergency plan generation method under the framework of federated learning. First of all, each enterprise carries out feature extraction and case representation of local historical emergency cases. Then, based on the federated learning framework, under the premise of fully guaranteeing data privacy, each enterprise uses local data to collaboratively train a federated k-means model (FL-K-means) for the extraction of similar historical emergency cases. On this basis, we use the trained federal clustering model to extract similar cases across enterprises, reuse and adjust the information and experience of similar historical emergency cases, and then generate the emergency plan of the target case. On the premise of protecting enterprise data privacy, the method proposed in this paper can fully mine and utilize the emergency case data of different enterprises, effectively solve the data island problem between enterprises, support the decision-making of target emergency cases and generate the decision-making scheme of target emergency cases through the adjustment of similar historical emergency cases.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Qiang Gao
AU  - Ran Ran
AU  - Fei Hu
AU  - Zi-Mo Xing
AU  - Fu-Liang Zhang
PY  - 2022
DA  - 2022/12/23
TI  - A CBR-Based Emergency Plan Generation Method Under the Federated Learning Framework
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 66
EP  - 73
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_9
DO  - 10.2991/978-94-6463-034-3_9
ID  - Gao2022
ER  -