Skip to main content

Design of Teaching Resources Sharing Method for Economics Major Based on Federal Learning

  • Conference paper
  • First Online:
e-Learning, e-Education, and Online Training (eLEOT 2023)

Abstract

Under the premise of protecting the privacy of teaching resources, resource sharing is an effective measure to improve the utilization rate of teaching resources. Therefore, this study proposes a sharing method of teaching resources for economics majors based on Federated learning. Firstly, collect teaching resources for economics majors and complete the integration of resources based on their classification results. Then, set the (Transaction Layer Protocol) TLP protocol as the resource sharing protocol, use the Federated learning algorithm to implement encryption processing for text/data, image/video resources, and complete the directional transmission of resources through the selected transmission channel, so as to achieve resource security sharing. The test results show that the average shared resource loss and error rate of this method are 0.27 GB and 1.37%, respectively, and the shared task execution time does not exceed 2 s, indicating that compared with traditional sharing methods, the sharing performance of this method is better.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Li, J.: Application of mobile information system based on internet in college physical education classroom teaching. Mob. Inf. Syst. 20(10), 1–10 (2021)

    Google Scholar 

  2. Jamili, N., Van, D., Koster, R.D.: Quantifying the impact of sharing resources in a collaborative warehouse. Eur. J. Oper. Res. 30(2), 501–507 (2022)

    Google Scholar 

  3. Tucker, B.V., Kelley, M.C., Redmon, C.: A place to share teaching resources: speech and language resource bank. J. Acoust. Soc. Am. 149(4), 147–152 (2021)

    Article  Google Scholar 

  4. Kim, K.J., Kang, Y., Jeong, J., et al.: Student-led creation and sharing of e-learning resources. Med. Educ. 8, 56–62 (2022)

    Google Scholar 

  5. Hayes, B., Kamrowska-Zaluska, D., Petrovski, A., et al.: State of the art in open platforms for collaborative urban design and sharing of resources in districts and cities. Sustainability 13(1), 104–108 (2021)

    Google Scholar 

  6. Zhang, J.: Cloud trust-driven hierarchical sharing method of internet of things information resources. Complexity 2021(6), 1–11 (2021)

    Google Scholar 

  7. Niu, J., Sun, Y., Jia, X., et al.: Key-size-driven wavelength resource sharing scheme for QKD and the time-varying data services. J. Lightwave Technol. 12(9), 1–11 (2021)

    Google Scholar 

  8. Palmié, M., Boehm, J., Lekkas, C.K., et al.: Circular business model implementation: design choices, orchestration strategies, and transition pathways for resource-sharing solutions. J. Cleaner Prod. 280, 124–129 (2021)

    Google Scholar 

  9. Pezzini, P., Bryden, K.M., Finzell, P., et al.: A novel multiagent resource sharing algorithm for control of advanced energy systems. Ind. Eng. Chem. Res. 30, 60–66 (2021)

    Google Scholar 

  10. Bao, K., Zhang, X.: Remote sharing simulation of database information based on particle swarm optimization. Comput. Simul. 39(02), 487–490+495 (2022)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hui Yang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yang, H., Li, T. (2024). Design of Teaching Resources Sharing Method for Economics Major Based on Federal Learning. In: Gui, G., Li, Y., Lin, Y. (eds) e-Learning, e-Education, and Online Training. eLEOT 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-031-51468-5_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-51468-5_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51467-8

  • Online ISBN: 978-3-031-51468-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics