[HTML][HTML] A survey on Zero touch network and Service Management (ZSM) for 5G and beyond networks
Faced with the rapid increase in smart Internet-of-Things (IoT) devices and the high demand
for new business-oriented services in the fifth-generation (5G) and beyond network, the …
for new business-oriented services in the fifth-generation (5G) and beyond network, the …
Aerial computing: A new computing paradigm, applications, and challenges
In existing computing systems, such as edge computing and cloud computing, several
emerging applications and practical scenarios are mostly unavailable or only partially …
emerging applications and practical scenarios are mostly unavailable or only partially …
Artificial intelligence for the metaverse: A survey
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …
technologies have been created to bring users breathtaking experiences with more virtual …
Energy-efficient federated learning over UAV-enabled wireless powered communications
Since the invention in 2016, federated learning (FL) has been a key concept of artificial
intelligence, in which the data of FL users needs not to be uploaded to the central server …
intelligence, in which the data of FL users needs not to be uploaded to the central server …
Federated learning and its role in the privacy preservation of IoT devices
Federated learning (FL) is a cutting-edge artificial intelligence approach. It is a decentralized
problem-solving technique that allows users to train using massive data. Unprocessed …
problem-solving technique that allows users to train using massive data. Unprocessed …
Joint air-ground distributed federated learning for intelligent transportation systems
Supported by some of the major revolutionary technologies, such as Internet of Vehicles
(IoVs), Edge Computing, and Machine Learning (ML), the traditional Vehicular Networks …
(IoVs), Edge Computing, and Machine Learning (ML), the traditional Vehicular Networks …
Federated learning over wireless networks: Challenges and solutions
M Beitollahi, N Lu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Motivated by ever-increasing computational resources at edge devices and increasing
privacy concerns, a new machine learning (ML) framework called federated learning (FL) …
privacy concerns, a new machine learning (ML) framework called federated learning (FL) …
On-board federated learning for satellite clusters with inter-satellite links
The emergence of mega-constellations of interconnected satellites has a major impact on
the integration of cellular wireless and non-terrestrial networks, while simultaneously …
the integration of cellular wireless and non-terrestrial networks, while simultaneously …
Federated learning for IoUT: concepts, applications, challenges and opportunities
N Victor, M Alazab, S Bhattacharya… - arXiv preprint arXiv …, 2022 - arxiv.org
Internet of Underwater Things (IoUT) have gained rapid momentum over the past decade
with applications spanning from environmental monitoring and exploration, defence …
with applications spanning from environmental monitoring and exploration, defence …
Blockchain-based swarm learning for the mitigation of gradient leakage in federated learning
Federated Learning (FL) is a machine learning technique in which collaborative and
distributed learning is performed, while the private data reside locally on the client. Rather …
distributed learning is performed, while the private data reside locally on the client. Rather …