Combining federated learning and edge computing toward ubiquitous intelligence in 6G network: Challenges, recent advances, and future directions
Full leverage of the huge volume of data generated on a large number of user devices for
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
Communication and computation efficiency in federated learning: A survey
Federated Learning is a much-needed technology in this golden era of big data and Artificial
Intelligence, due to its vital role in preserving data privacy, and eliminating the need to …
Intelligence, due to its vital role in preserving data privacy, and eliminating the need to …
Privacy and security in federated learning: A survey
In recent years, privacy concerns have become a serious issue for companies wishing to
protect economic models and comply with end-user expectations. In the same vein, some …
protect economic models and comply with end-user expectations. In the same vein, some …
A review of privacy enhancement methods for federated learning in healthcare systems
Federated learning (FL) provides a distributed machine learning system that enables
participants to train using local data to create a shared model by eliminating the requirement …
participants to train using local data to create a shared model by eliminating the requirement …
Detecting Electrocardiogram Arrhythmia Empowered With Weighted Federated Learning
In this study, a weighted federated learning approach is proposed for electrocardiogram
(ECG) arrhythmia classification. The proposed approach considers the heterogeneity of data …
(ECG) arrhythmia classification. The proposed approach considers the heterogeneity of data …
Survey on Federated Learning enabling indoor navigation for industry 4.0 in B5G
With the expansion of intelligent services and applications powered by Artificial Intelligence
(AI), the Internet of Things (IoT) permeates many aspects of our everyday lives. In order to …
(AI), the Internet of Things (IoT) permeates many aspects of our everyday lives. In order to …
Gradient boosting for health IoT federated learning
Federated learning preserves the privacy of user data through Machine Learning (ML). It
enables the training of an ML model during this process. The Healthcare Internet of Things …
enables the training of an ML model during this process. The Healthcare Internet of Things …
[HTML][HTML] IDSoft: A federated and softwarized intrusion detection framework for massive internet of things in 6G network
A Alotaibi, A Barnawi - Journal of King Saud University-Computer and …, 2023 - Elsevier
With the rollout of sixth generation (6G)–enabled massive internet of things (IoT) networks,
the amount of data generated by IoT devices is expected to grow tremendously. Therefore …
the amount of data generated by IoT devices is expected to grow tremendously. Therefore …
Reinforcing industry 4.0 with digital twins and blockchain-assisted federated learning
The Internet of Things (IoT) has revolutionized the manufacturing process in the industry. It
has created a new ecosystem allowing a diversified set of devices to be controlled remotely …
has created a new ecosystem allowing a diversified set of devices to be controlled remotely …
Multiagent federated reinforcement learning for resource allocation in UAV-enabled internet of medical things networks
In the 5G/B5G network paradigms, intelligent medical devices known as the Internet of
Medical Things (IoMT) have been used in the healthcare industry to monitor remote users' …
Medical Things (IoMT) have been used in the healthcare industry to monitor remote users' …