Clustered federated Multitask learning is introduced as an efficient
tec...
Unlike their offline traditional counterpart, online machine learning mo...
Federated Learning (FL) is one of the hot research topics, and it utiliz...
This paper considers the problem of cost-aware downlink sum-rate maximiz...
Clustered Federated Multitask Learning (CFL) was introduced as an effici...
Recognizing the patient's emotions using deep learning techniques has
at...
In Federated edge learning (FEEL), energy-constrained devices at the net...
In this work, we examine an intelligent reflecting surface (IRS) assiste...
Federated edge learning (FEEL) is a promising distributed learning techn...
In this paper, a Deep Q-Network (DQN) based multi-agent multi-user power...
Internet of things (IoT) devices are prone to attacks due to the limitat...
Internet of Things (IoT) is an innovative paradigm envisioned to provide...
This paper opts to mitigate the energy-inefficiency of the Blockchain
Pr...
Modern transportation infrastructures are considered as one of the main
...
This paper presents a new blockchain network simulator that uses bitcoin...
Privacy concerns are considered one of the main challenges in smart citi...
Received Signal Strength (RSS) fingerprint-based localization attracted ...
Electronic health records (EHR) systems contain vast amounts of medical
...
Ride-sharing is a service that enables drivers to share their trips with...
In this paper, we propose a Sybil attack detection scheme using proofs o...
Recently, Autonomous Vehicles (AVs) have gained extensive attention from...
Ride-sharing allows multiple persons to share their trips together in on...
Ride-sharing allows multiple persons to share their trips together in on...
In this paper, we consider a two-hop amplify-and-forward (AF) relaying
s...
In this paper, a two-hop decode-and-forward cognitive radio system with
...
This paper studies a two-hop decode-and-forward underlay cognitive radio...