Abstract: Federated learning is an emerging machine learning framework, which is commonly used in the structure of distributed machine learning due to its characteristic of “data immutable model ...
Abstract: This paper addresses the critical challenge of trajectory tracking control for unmanned aircraft in low-altitude urban environments, where dynamic wind disturbances significantly impact ...
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