A Novel Mixture Least Squares Approach for Simultaneous Parameter/State and Unknown Input Estimation
Abstract: In this article, we introduce a novel mixture least squares (MLSs) algorithm to deal with the problems of simultaneous parameter/state and unknown input estimation. First, the MLSs algorithm ...
Abstract: Federated Learning (FL) has attracted the interest of researchers since it hinders inefficient resource utilization by developing a global learning model based on local model parameters (LMP ...
Note: This alpha release is just the beginning of the journey. It is intended to gather early feedback from the community and is provided "as is." It should not be used in live production networks.
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