STREAMER 3.0: Towards Online Monitoring and Distributed Learning-Reference-Cited by-同舟云学术

STREAMER 3.0: Towards Online Monitoring and Distributed Learning

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Naline Baudouin¹^ORCID,Garcia-Rodriguez Sandra¹^ORCID,Zeitouni Karine²^ORCID

Affiliation:

1. Université Paris-Saclay, CEA, List, Saclay, France

2. DAVID Lab, University of Versailles, University of Paris-Saclay, Versailles, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614755

Reference20 articles.

1. Detecting Anomalies from Streaming Time Series using Matrix Profile and Shapelets Learning

2. Control Charts and Stochastic Processes

3. Aggregation Strategy on Federated Machine Learning Algorithm for Collaborative Predictive Maintenance

4. Daniel J. Beutel , Taner Topal , Akhil Mathur , Xinchi Qiu , Javier Fernandez- Marques , Yan Gao, Lorenzo Sani, Kwing Hei Li, Titouan Parcollet, Pedro Porto Buarque de Gusmão, and Nicholas D. Lane. 2022 . Flower : A Friendly Federated Learning Research Framework . arXiv:2007.14390 [cs, stat] (March 2022). Daniel J. Beutel, Taner Topal, Akhil Mathur, Xinchi Qiu, Javier Fernandez- Marques, Yan Gao, Lorenzo Sani, Kwing Hei Li, Titouan Parcollet, Pedro Porto Buarque de Gusmão, and Nicholas D. Lane. 2022. Flower: A Friendly Federated Learning Research Framework. arXiv:2007.14390 [cs, stat] (March 2022).

5. Maharshi Dhada , Adria Salvador Palau , and Ajith Kumar Parlikad . 2019 . Federated Learning for Collaborative Prognosis. In International Conference on Precision, Meso, Micro and Nano Engineering (COPEN 2019), IIT Indore. 6. Maharshi Dhada, Adria Salvador Palau, and Ajith Kumar Parlikad. 2019. Federated Learning for Collaborative Prognosis. In International Conference on Precision, Meso, Micro and Nano Engineering (COPEN 2019), IIT Indore. 6.