Distillation and quantization are both promising methods to reduce the computational and memory footprint that huge transformer-based networks require. Quantization refers to a process of reducing the ...

This repo contains the official code of our ICLR'25 paper: ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. We introduce ViDiT-Q, a quantization ...

Abstract: We propose a low-complexity real-time equalization scheme for passive optical networks (PONs), which provides equalization with similar performance and ultra-low digital signal processing ...

Abstract: Federated learning (FL) can protect the privacy of the vehicles in vehicle edge computing (VEC) to a certain extent through sharing the gradients of vehicles’ local models instead of the ...

A quantization scheme based on the extension of phase space with application of constrained quantization technic is considered. The obtained method is similar to the geometric quantization. For ...

Canonical quantization of gravitational systems is obstructed by the problem of time. Due to diffeomorphism symmetry the Hamiltonian vanishes: dynamics with respect to a background time parameter ...

Laboratory of Quantum Functional Materials Design and Application, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China ...