Model and Feature Aggregation Based Federated Learning for Multi-sensor Time Series Trend Following-Reference-Cited by-同舟云学术

Model and Feature Aggregation Based Federated Learning for Multi-sensor Time Series Trend Following

Published:2019 Issue: Volume: Page:233-246
ISSN:0302-9743
Container-title:Advances in Computational Intelligence
language:
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Author:

Hu Yao,Sun Xiaoyan,Chen Yang,Lu Zishuai

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-20521-8_20

Reference17 articles.

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2. Hu, Y., Sun, X., Nie, X., Li, Y., Liu, L.: An enhanced LSTM for trend following of time series. IEEE Access 7, 34020–34030 (2019)

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4. Kamakshi, P.: A survey on privacy issues and privacy preservation in spatial data mining. In: International Conference on Circuit, pp. 1759–1762 (2014)

5. Konecny, J., Mcmahan, H.B., Ramage, D.: Federated optimization: distributed optimization beyond the datacenter. arXiv: $$\text{Learning}$$ , pp. 1–5

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