This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

Abstract: In Differentially Private Federated Learning (DP-FL), gradient clipping can prevent excessive noise from being added to the gradient and ensure that the impact of noise is within a ...

Abstract: Neural network pruning is a popular and promising approach aiming at reducing heavy networks to lightweight ones by removing redundancies. Most existing methods adopt a three-stage pipeline, ...