Abstract The Tactile Internet of Things (TIoT) represents a special class of the Internet of
Things (IoT) that has opened the door for a new generation of agile, highly dynamic …

The advancement of the sensing capabilities of end devices drives a variety of data-
intensive insights, yielding valuable information for modelling intelligent industrial …

To keep pace with the explosive growth of Artificial Intelligence (AI) and Machine Learning
(ML)-dominated applications, distributed intelligence solutions are gaining momentum …

An emerging modality, increasingly used by edge devices, to train machine learning models
in a distributed and cooperative way is Federated Learning (FL). It combines an increase in …

In an ever-increasing number of contexts, it has now become common to use federated
learning (FL) techniques, through which several heterogeneous devices cooperate in a …

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

The heterogeneous novelty applications present in the 5th generation (5G) era, including
machine‐type communication (mMTC), enhanced mobile broadband (eMBB) …

Abstract Machine learning (ML) algorithms have been intended to seamlessly collaborate for
enabling intelligent networking in terms of massive service differentiation, prediction, and …

An emerging modality, increasingly utilized by edge devices for training machine learning
models in a distributed and collaborative manner, is Federated Learning (FL). FL offers a …

Research Article Intelligent Offloading Decision and Resource Allocations Schemes Based on
RNN/DQN for Reliability Assurance in Page 1 Research Article Intelligent Offloading Decision …