Federated Learning, as a distributed learning technique, has emerged with the improvement
of the performance of IoT and edge devices. The emergence of this learning method alters …

With the increasing attention on Machine Learning applications, more and more companies
are involved in implementing AI components into their software products in order to improve …

Federated learning has become a new research brand in the field of IoT. Today, we see
gigantic amounts data being generated by end devices such as mobile phones on a daily …

Nowadays, billions of phones, IoT and edge devices around the world generate data
continuously, enabling many Machine Learning (ML)-based products and applications …

The IoT ecosystem is able to leverage vast amounts of data for intelligent decision-making.
Federated Learning (FL), a decentralized machine learning technique, is widely used to …

Federated Learning (FL) is rapidly gaining popularity as an effective cooperative and
distributed approach, widely used by edge devices, to train machine learning models …

In the age of technology, data is an increasingly important resource. This importance is
growing in the field of Artificial Intelligence (AI), where sub fields such as Machine Learning …

Federated learning includes mobile phones for cooperative learning and training and
contains limited data on device. Federated learning allocates the machine learning …

Deep learning has obtained a great success in computing technologies and has been
affiliated to people's lives inseparably recent years. Nowadays, the most common approach …

When applying machine learning techniques to the Internet of things, aggregating massive
amount of data seriously reduce the system efficiency. To tackle this challenge, a distributed …