Energy Aware Task Allocation for Semi-Asynchronous Mobile Edge Learning

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Mohammad, Umair, et al. “Energy Aware Task Allocation for Semi-Asynchronous Mobile Edge Learning”. IEEE Transactions on Green Communications and Networking, vol. 7, no. 4, 2023, pp. 1766-77, https://doi.org/10.1109/tgcn.2023.3244710.
Mohammad, U., Sorour, S., & Hefeida, M. (2023). Energy Aware Task Allocation for Semi-Asynchronous Mobile Edge Learning. IEEE Transactions on Green Communications and Networking, 7(4), 1766-1777. https://doi.org/10.1109/tgcn.2023.3244710
Mohammad U, Sorour S, Hefeida M. Energy Aware Task Allocation for Semi-Asynchronous Mobile Edge Learning. IEEE Transactions on Green Communications and Networking. 2023;7(4):1766-77.
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Refrences
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2021
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2021
Federated learning in mobile edge networks: A comprehensive survey 2020
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2019
Fast and communication-efficient algorithm for distributed support vector machine training IEEE Transactions on Parallel and Distributed Systems
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2019