Exploring the distributed learning on federated learning and cluster computing via convolutional neural networks
Author:
Funder
National Science and Technology Council, Taiwan
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09160-1.pdf
Reference41 articles.
1. Gupta O, Raskar R (2018) Distributed learning of deep neural network over multiple agents. J Netw Comput Appl 116:1–8
2. Liu B, Ding Z (2022) A distributed deep reinforcement learning method for traffic light control. Neurocomputing 490:390–399
3. Duan Y, Wang N, Wu J (2021) Minimizing training time of distributed machine learning by reducing data communication. IEEE Trans Netw Sci Eng 8(2):1802–1814
4. Gosselin R, Vieu L, Loukil F, Benoit A (2022) Privacy and security in federated learning: a survey. Appl Sci 12(19):9901
5. Antunes RS, André da Costa C, Küderle A, Yari IA, Eskofier B (2022) Federated learning for healthcare: systematic review and architecture proposal. ACM Trans Intell Syst Technol (TIST) 13(4):1–23
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