SDDLA: A New Architecture for Secured Decentralized Distributed Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0741-0_22
Reference10 articles.
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3. Gao, Y., et al.: End-to-end evaluation of federated learning and split learning for internet of things. In: 2020 International Symposium on Reliable Distributed Systems (SRDS). IEEE (2020)
4. Hamdan, S., Almajali, S., Ayyash, M.: Comparison study between conventional machine learning and distributed multi-task learning models. In: 2020 21st International Arab Conference on Information Technology (ACIT). IEEE (2020)
5. Hamdan, S., Almajali, S., Ayyash, M., Salameh, H.B., Jararweh, Y.: An intelligent edge-enabled distributed multi-task learning architecture for large-scale IoT-based cyber–physical systems. Simul. Model. Pract. Theory 122, 102685 (2023)
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