Implementation of "Breaking the Low-Rank Dilemma of Linear Attention" The Softmax attention mechanism in Transformer models is notoriously computationally expensive, particularly due to its quadratic ...

Abstract: Collision-free robot motion planning is crucial in robotic applications. Traditional sampling-based methods struggle with kinematic/dynamic constraints and intermediate process constraints, ...

Kimi-K2-Mini is an experimental compressed version of the 1.07T parameter Kimi-K2 model, targeting ~32.5B parameters for more accessible deployment. This project explores several optimization ...

Abstract: Federated learning is a kind of special machine learning framework, which can effectively protects the privacy of users and data from multiple participating nodes. It allows participating ...

Crypto followers turned to bitcoin evangelist and Strategy founder Michael Saylor for a sign as the coin's price has fallen. He's urged them to keep the faith. While the price of bitcoin and some ...