Experimental results demonstrate that the proposed framework improves convergence, accuracy, scalability, and signal-to-noise ratio, data rate, while simultaneously reducing latency, and energy consumption for both CIFAR-10 and FEMNIST datasets compared with the FedProx, FedADMM, LyFeD and FL-MEC benchmark schemes.
Kofi Kwarteng Abrokwa, Qi Jiang, Zhou-Qin Ma et al.· IEEE Transactions on Green C...· 0 citations
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