Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …
integrated communication and computing platform that will enable multipurpose and …
Federated learning using game strategies: State-of-the-art and future trends
R Gupta, J Gupta - Computer Networks, 2023 - Elsevier
Federated learning (FL) is a new and promising paradigm that allows devices to learn
without sharing data with the centralized server. It is often built on decentralized data where …
without sharing data with the centralized server. It is often built on decentralized data where …
Two-stream graph convolutional network-incorporated latent feature analysis
F Bi, T He, Y Xie, X Luo - IEEE Transactions on Services …, 2023 - ieeexplore.ieee.org
Historical Quality-of-Service (QoS) data describing existing user-service invocations are vital
to understanding user behaviors and cloud service conditions. Collaborative Filtering (CF) …
to understanding user behaviors and cloud service conditions. Collaborative Filtering (CF) …
Efficient wireless network slicing in 5G networks: An asynchronous federated learning approach
K Bedda, ZM Fadlullah… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
While researchers continue to incorporate intelligent algorithms in Fifth Generation (5G) and
beyond networks to achieve high-accuracy decisions with ultra-low latency and significantly …
beyond networks to achieve high-accuracy decisions with ultra-low latency and significantly …
AI-Driven Framework for Scalable Management of Network Slices
This article describes a scalable solution for orchestrating and managing a massive number
of network slices that leverages Artificial Intelligence (AI) techniques to design robust and …
of network slices that leverages Artificial Intelligence (AI) techniques to design robust and …
[HTML][HTML] Approximate computing in B5G and 6G wireless systems: A survey and future outlook
As modern 5G systems are being deployed, researchers question whether they are sufficient
for the oncoming decades of technological evolution. Growing numbers of interconnected …
for the oncoming decades of technological evolution. Growing numbers of interconnected …
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing
Future zero-touch artificial intelligence (AI)-driven 6G network automation requires building
trust in the AI black boxes via explainable artificial intelligence (XAI), where it is expected …
trust in the AI black boxes via explainable artificial intelligence (XAI), where it is expected …
Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing
In recent years, wireless networks are evolving complex, which upsurges the use of zero-
touch artificial intelligence (AI)-driven network automation within the telecommunication …
touch artificial intelligence (AI)-driven network automation within the telecommunication …
TEFL: Turbo Explainable Federated Learning for 6G Trustworthy Zero-Touch Network Slicing
Sixth-generation (6G) networks anticipate intelligently supporting a massive number of
coexisting and heterogeneous slices associated with various vertical use cases. Such a …
coexisting and heterogeneous slices associated with various vertical use cases. Such a …
Enhancing Vehicular Networks With Hierarchical O-RAN Slicing and Federated DRL
With 5G technology evolving, Open Radio Access Network (O-RAN) solutions are becoming
crucial, especially for handling the diverse Quality of Service (QoS) needs in vehicular …
crucial, especially for handling the diverse Quality of Service (QoS) needs in vehicular …