Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: This paper focuses on the privacy-preserving distributed estimation problem with a limited data rate, where the observations are the sensitive information. Specifically, a binary-valued ...

Abstract: Polynomial multiplication, a core component of lattice-based cryptography, has demonstrated impressive performance in lattice-based cryptographic chips. However, costly Number Theoretic ...

Solves inverse kinematics with quadratic programming by minimizing joint accelerations under task-space constraints. Handles accelerations, speed and joints limits. Robustness against singularities — ...