Abstract: When gradient information is available, multi-objective Bayesian optimization (MOBO) algorithm using gradient-enhanced Gaussian process (GradGP) models has been proven to be an efficient ...

Abstract: Gradient inversion attacks (GIAs) pose significant challenges to the privacy-preserving paradigm of distributed learning. These attacks employ carefully designed strategies to reconstruct ...

Grace is a Guides Staff Writer from New Zealand with a love for fiction and storytelling. Grace has been playing games since childhood and enjoys a range of different genres and titles. From pick your ...

If you do a lot of your work using Google apps like Google Docs and Sheets, Gemini could help increase your productivity. Carly Quellman, aka Carly Que, is a multimedia strategist and storyteller at ...

Earlier, we have used image for gradients effect but now we will use gradient using css3 and we will see how to use many colors in gradient and only one color in gradient. Gradients are declared by ...

Over the past few days, eagle-eyed Google users may have noticed that in some instances, the capital G logo for the company now sports a gradient softening the transitions between the four solid-color ...

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid chromatography. Rzeszow University of Technology researchers based in ...

A UnoCSS preset for creating gradient borders with rounded corners and text. This preset aims to be a comprehensive solution for most of your gradient needs, from borders to text effects and ...

Red arrows indicate the nuclear spin axes at the positions of the N3 nitrogen atoms on the guanine (G) bases. Due to the helical structure of DNA, there is an angular deviation in the orientation of ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where the goal is to predict a single numeric value. Compared to ...

Multitask learning (MLT) involves training a single model to perform multiple tasks simultaneously, leveraging shared information to enhance performance. While beneficial, MLT poses challenges in ...