Abstract: Federated learning (FL) is a method for training a shared machine learning model without transferring raw data to a central server. This approach protects privacy while enabling ...
Abstract: This paper focuses on the T-S fuzzy output path tracking control issue for variable speed autonomous ground vehicles (VSAGVs) by using state observer and event-triggered mechanism. The model ...
Our ThinkDepth.ai deep research 1) addresses the issue of balancing multiple factors for long horizon and complex tasks and 2) addresses the issue of balancing between model capability and structural ...
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