In the era of 5G mobile communication, there has been a significant surg...
We consider a random access network consisting of source-destination pai...
Federated edge learning is envisioned as the bedrock of enabling intelli...
We investigate the performance of a random access network consisting of
...
This paper proposes a client selection (CS) method to tackle the
communi...
Personalized Federated Learning (PFL) is a new Federated Learning (FL)
p...
We propose a frame slotted ALOHA (FSA)-based protocol for a random acces...
Federated edge learning is a promising technology to deploy intelligence...
Personalized Federated Learning (PFL) is a new Federated Learning (FL)
a...
We study the average Age of Information (AoI) and peak AoI (PAoI) of a
d...
Data privacy and class imbalance are the norm rather than the exception ...
This work studies the average age of information (AoI) of a monitoring s...
We demonstrate that merely analog transmissions and match filtering can
...
Federated learning (FL) is an emerging machine learning method that can ...
We investigate the age-of-information (AoI) in the context of random acc...
Implementing federated learning (FL) algorithms in wireless networks has...
Age of information (AoI), a notion that measures the information freshne...
We study a distributed machine learning problem carried out by an edge s...
In the Internet of Things (IoT) networks, caching is a promising techniq...
Recently, we have struck the balance between the information freshness, ...
Timeliness is an emerging requirement for many Internet of Things (IoT)
...
The notion of age-of-information (AoI) is investigated in the context of...
Dynamic time-division duplex (D-TDD) has emerged as an effective solutio...
We investigate the age-of-information (AoI) in the context of random acc...
We study the performance of wireless links for a class of Poisson networ...
By exploiting the computing power and local data of distributed clients,...
Small cell networks with dynamic time-division duplex (D-TDD) have emerg...
Caching has been regarded as a promising technique to alleviate energy
c...
Optimization of information freshness in wireless networks has usually b...
In this paper, to effectively prevent information leakage, we propose a ...
In this paper, to effectively prevent the differential attack, we propos...
Federated learning (FL) is a machine learning model that preserves data
...
Internet of Things (IoT) has emerged as one of the key features of the n...
Motivated by the increasing computational capacity of wireless user
equi...
Optimization of information freshness in wireless networks has usually b...
Internet of Things (IoT) has been emerging as one of the use cases perme...
This paper considers a scenario in which an access point (AP) is equippe...
We analyze the delay performance of small cell networks operating under
...
The bloom in mobile applications not just bring in enjoyment to daily li...