Engineering and Technology
Introducing edge intelligence to smart meters via federated split learning
Y. Li, D. Qin, et al.
This groundbreaking research by Yehui Li, Dalin Qin, H. Vincent Poor, and Yi Wang unveils an innovative end-edge-cloud federated split learning framework that revolutionizes collaborative model training on smart meters. With significant reductions in memory and training time, this framework not only addresses resource constraints but also boosts privacy while maintaining or surpassing forecasting accuracy compared to traditional methods.
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