Federated Deep Learning (FDL) has the potential to benefit a variety of industries, particularly those that handle sensitive or private data, require personalized models, or operate in decentralized environments. Here are some industries that may find federated deep learning particularly valuable in the future: 1. Healthcare — Federated learning can…

Federated Deep Learning (FDL) is an extension of traditional deep learning that introduces a decentralized approach to model training. In standard deep learning, a centralized server typically aggregates and processes all the training data to update a global model. In contrast, federated learning distributes the training process across multiple devices…

In a dropout layer, during training, a random fraction of the input units is set to zero at each update. This process helps prevent overfitting by adding noise to the output and reducing the reliance on specific neurons. The dropout layer is a form of regularization that encourages the neural…

An adversarial attack, in the context of machine learning and deep learning, refers to a deliberate and malicious attempt to manipulate or deceive a machine learning model by introducing specially crafted inputs or perturbations. The goal of an adversarial attack is to cause the model to make incorrect predictions or…

An adversarial neural network, often referred to as an “adversarial network” or simply “GAN” (Generative Adversarial Network), is a type of artificial neural network architecture introduced by Ian Goodfellow and his colleagues in 2014. GANs are designed to model and generate data, often with a focus on generating realistic and…

An adversarial model is a component of adversarial machine learning, a technique that involves training two neural networks, known as the generator and discriminator, in a competitive fashion. The generator creates data or makes predictions, while the discriminator evaluates that data or those predictions. The two networks play a cat-and-mouse…

Introduction The art of deceit is evolving along with the digital era. The development of audio deepfake technology in recent years is one of the most alarming technological developments. These advanced algorithms have the ability to alter audio recordings with a level of realism never seen before, which raises grave worries…

In the context of ChatGPT, prompt injection attacks are attempts by malevolent individuals to trick the AI model into producing offensive or dangerous content. Despite being a strong language model developed by OpenAI, ChatGPT is not impervious to abuse. These attacks can take many different shapes, but they usually involve…

Introduction A new age of innovation and change is being ushered in by artificial intelligence (AI) in a number of industries. This also applies to public transportation, which has long been an essential part of urban mobility. This article will examine how artificial intelligence (AI) is poised to transform public transportation…