Abstract: Federated Learning (FL) facilitates decentralized model training without the exchange of raw data, thereby guaranteeing privacy. However, due to its distributed nature, this paradigm is ...
The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in the planetary atmosphere. This phenomenon is governed by the Navier-Stokes ...
Abstract: Robotic manipulation of deformable linear objects (DLOs) has broad application prospects, e.g., manufacturing and medical surgery. To achieve such tasks, a critical challenge is the precise ...
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