IEEE

Distributed Online Gradient Descent Optimization Algorithm with Forgetting-Factor Decay Step and Regret

Abstract: This study proposes a novel distributed online gradient descent algorithm incorporating a time-decaying forgetting-factor (FF) mechanism. The core innovation lies in introducing a ...
GitHub

PtyRAD: Ptychographic Reconstruction with Automatic Differentiation

Python 3.10 or above PyTorch 2.0 or above While PtyRAD can run on CPU, GPU is strongly suggested for high-speed ptychographic reconstructions. First, create and activate a new conda environment ...
IEEE

Projected Gradient Descent-Based Dynamic Event-Triggered Optimal Control for MVDC-DS Considering Power Interaction Ability With AC Grid

Abstract: To avoid system failures in medium-voltage DC distribution system (MVDC-DS) caused by excessive power interactions with AC grid at a modest communication burden, this paper proposes a ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...