Federated Deep Learning for Solving an Image Classification Problem on a Desktop Grid System
Author:
Publisher
Pleiades Publishing Ltd
Link
https://link.springer.com/content/pdf/10.1134/S1063779624030560.pdf
Reference5 articles.
1. M. Curiel et al., “Parallel processing of images in mobile devices using BOINC,” Open Eng. 8, 87–101(2018).
2. I. Kurochkin et al., “Using mobile devices in a voluntary distributed computing project to solve combinatorial problems,” Commun. Comput. Inf. Sci. 1510, 525–537 (2021). https://doi.org/10.1007/978-3-030-92864-3_40
3. P. Bellavista, L. Foschini, and A. Mora, “Decentralised learning in federated deployment environments: A system-level survey,” ACM Comput. Surveys (CSUR) 54, 1–38 (2021).
4. S. Abdul Rahman et al. “A survey on federated learning: The journey from centralized to distributed on-site learning and beyond,” IEEE Internet of Things J. 8, 5476–5497 (2020).
5. D. P. Anderson, “BOINC: A platform for volunteer computing,” J. Grid Comput. 18, 99–122 (2020).
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