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cs.LG2022
Joint Optimization of Energy Consumption and Completion Time in Federated Learning
Xinyu Zhou, Jun Zhao, Huimei Han +1
Federated Learning (FL) is an intriguing distributed machine learning approach due to its privacy-preserving characteristics. To balance the trade-off between energy and execution…
cs.LG2021★ 2 cited
Reconstructing a dynamical system and forecasting time series by self-consistent deep learning
Zhe Wang, Claude Guet
We introduce a self-consistent deep-learning framework which, for a noisy deterministic time series, provides unsupervised filtering, state-space reconstruction, identification of…