IEEE

Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach

Abstract: We study gradient methods for solving distributed convex optimization problems over a network when the communication bandwidth between the nodes is limited, and so information that is ...
IEEE

Approximation-Free Prescribed Performance Control With Prescribed Input Constraints

Abstract: This letter considers the tracking control problem for an unknown nonlinear system with time-varying bounded disturbance subjected to a prescribed performance and input constraints. When ...
GitHub

FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation

This repository contains the official PyTorch implementation for the CVPR 2025 paper "FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation". Install ...
GitHub

SnowyStorm00/shiny-pokemon-counter

Shiny Pokemon Counter is a dedicated application for tracking your shiny hunting progress across all Pokemon generations. This tool calculates real-time odds and helps you monitor your shiny hunting ...