A k-Anonymised Federated Learning Framework with Decision Trees-Reference-Cited by-同舟云学术

A k-Anonymised Federated Learning Framework with Decision Trees

Published:2022 Issue: Volume: Page:106-120
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Kwatra Saloni^ORCID,Torra Vicenç^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-93944-1_7

Reference20 articles.

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2. Anonymisation and GDPR compliance; an overview - GDPR Summary (2021). https://www.gdprsummary.com/anonymisation-and-gdpr/. Accessed 27 June 2021

3. McMahan, B., Moore, E., Ramage, D., Hampson, S., y Arcas, B.A.: Communication-efficient learning of deep networks from decentralized data. In: Artificial Intelligence and Statistics, pp. 1273–1282. PMLR, April 2017

4. Dua, D., Graff, C.: UCI machine learning repository. University of California, School of Information and Computer Science, Irvine (2019). http://archive.ics.uci.edu/ml

5. Peng, W., Chen, J., Zhou, H.: An implementation of ID3-decision tree learning algorithm. arch.usyd.edu.au/wpeng/DecisionTree2.pdf. Accessed 13 May 2009

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