Adaptive Federated Learning in Non-IID Data Environment 


Vol. 49,  No. 8, pp. 1118-1120, Aug.  2024
10.7840/kics.2024.49.7.1118


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  Abstract

In this paper, we propose the adaptive federated learning called FedA under non-IID data environment to guarantee the training accuracy and reduce training time. FedA adaptively selects the proper traditional federated learning scheme according to the non-IID degree. Also, we conduct the simulation to obtain the policy representing which federated learning scheme is configured according to the non-IID degree and to confirm the outperformance of our proposed scheme.

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[IEEE Style]

J. Lee and H. Ko, "Adaptive Federated Learning in Non-IID Data Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 8, pp. 1118-1120, 2024. DOI: 10.7840/kics.2024.49.7.1118.

[ACM Style]

Jae-wook Lee and Haneul Ko. 2024. Adaptive Federated Learning in Non-IID Data Environment. The Journal of Korean Institute of Communications and Information Sciences, 49, 8, (2024), 1118-1120. DOI: 10.7840/kics.2024.49.7.1118.

[KICS Style]

Jae-wook Lee and Haneul Ko, "Adaptive Federated Learning in Non-IID Data Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 8, pp. 1118-1120, 8. 2024. (https://doi.org/10.7840/kics.2024.49.7.1118)
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eISSN : 2287 - 3880