Improving Accuracy and Convergence in Group-Based Federated Learning on Non-IID Data
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3163279
Abstract: Federated learning (FL) enables a large number of edge devices to learn a shared model without data sharing collaboratively. However, the imbalanced data distribution among users poses challenges to the convergence performance of FL. Group-based… read more here.
Keywords: federated learning; group; accuracy convergence; auto group ... See more keywords
Improving Solution Accuracy and Convergence for Stochastic Physics Parameterizations with Colored Noise
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DOI: 10.1175/mwr-d-19-0178.1
Abstract: AbstractStochastic parameterizations are used in numerical weather prediction and climate modeling to help capture the uncertainty in the simulations and improve their statistical properties. Conve... read more here.
Keywords: improving solution; physics; convergence stochastic; accuracy convergence ... See more keywords