The Internet of Things (IoT) ecosystem connects physical devices to the internet, offering
significant advantages in agility, responsiveness, and potential environmental benefits. The …

Machine learning (ML) models have been widely applied to various applications, including
image classification, text generation, audio recognition, and graph data analysis. However …

The idea of federated learning is to collaboratively train a neural network on a server. Each
user receives the current weights of the network and in turns sends parameter updates …

In federated learning (FL), data does not leave personal devices when they are jointly
training a machine learning model. Instead, these devices share gradients, parameters, or …

In federated learning, multiple client devices jointly learn a machine learning model: each
client device maintains a local model for its local training dataset, while a master device …

Given access to a machine learning model, can an adversary reconstruct the model's
training data? This work studies this question from the lens of a powerful informed adversary …