Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis
Integrating native AI support into the network architecture is an essential objective of 6G.
Federated Learning (FL) emerges as a potential paradigm, facilitating decentralized AI …
Federated Learning (FL) emerges as a potential paradigm, facilitating decentralized AI …
A secure federated learning framework for 5G networks
Federated learning (FL) has recently been proposed as an emerging paradigm to build
machine learning models using distributed training datasets that are locally stored and …
machine learning models using distributed training datasets that are locally stored and …
Federated learning for 6G-enabled secure communication systems: a comprehensive survey
Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …
from business, medicine, industries, healthcare, transportation, smart cities, and many more …
Federated Learning For Enhanced Cybersecurity And Trustworthiness In 5G and 6G Networks: A Comprehensive Survey
A Blika, S Palmos, G Doukas… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
In the fast-progressing field of wireless communications, the forthcoming 6G networks are
expected to revolutionize the way we communicate, offering unparalleled speed, minimal …
expected to revolutionize the way we communicate, offering unparalleled speed, minimal …
Federated learning for 6g: Paradigms, taxonomy, recent advances and insights
Artificial Intelligence (AI) is expected to play an instrumental role in the next generation of
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …
Security and privacy in artificial intelligence-enabled 6G
The sixth-generation (6G) mobile communication network is expected to provide world-
connected smart and autonomous services by leveraging artificial intelligence (AI) …
connected smart and autonomous services by leveraging artificial intelligence (AI) …
Fedbranch: Heterogeneous federated learning via multi-branch neural network
As a privacy-preserving paradigm of decentralized machine learning, federated learning
(FL) has become a hot spot in the field of machine learning. Existing FL approaches …
(FL) has become a hot spot in the field of machine learning. Existing FL approaches …
Leveraging Decentralized Communication for Privacy-Preserving Federated Learning in 6g Networks
Artificial intelligence (AI) is considered a fundamental pillar in developing next-generation
networks. Federated learning (FL) emerges as a promising solution to address data privacy …
networks. Federated learning (FL) emerges as a promising solution to address data privacy …
Toward Secure Federated Learning for Internet of Things Using Deep Reinforcement Learning (DRL)-Enabled Reputation Mechanism
NM Al-Maslamani - 2023 - search.proquest.com
Federated Learning (FL) has emerged to leverage datasets from multiple devices to improve
the performance of a Machine Learning (ML) model while providing privacy preservation for …
the performance of a Machine Learning (ML) model while providing privacy preservation for …
Trustworthy Federated Learning via Decentralized Consensus Under Communication Constraints
The advent of 6G is anticipated to bring advanced support for decentralized data processing,
promoting the exploration of Federated Learning (FL). FL enables collaborative learning …
promoting the exploration of Federated Learning (FL). FL enables collaborative learning …