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Wenqin Zhuang

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Open access Jul 2026

Digital Twin-Enabled Dynamic Aggregation for Efficient Federated Learning

Simulation results demonstrate that the proposed digital twin (DT)-based dynamic FL aggregation method not only accelerates model convergence and improves accuracy but also significantly reduces training latency and energy consumption costs compared with baseline FL algorithms.

Wenqin Zhuang, Yuao Wang, Guocheng Wang · 0 citations

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