BGFL: a blockchain-enabled group federated learning at wireless industrial edges

G Peng, X Shi, J Zhang, L Gao, Y Tan, N ** in B5G networks, such as an Ultra High-
Definition video surveillance system with a resolution of 7680x4320p that generates video …

Enhancing Vehicular Networks With Hierarchical O-RAN Slicing and Federated DRL

B Hazarika, P Saikia, K Singh… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

BSM-6G: Blockchain-Based Dynamic Spectrum Management for 6G Networks: Addressing Interoperability and Scalability

D Cuellar, M Sallal, C Williams - IEEE Access, 2024 - ieeexplore.ieee.org
The radio frequency spectrum serves as a fundamental resource for wireless
communication, encompassing various frequency bands allocated for diverse services and …

FLock: Robust and Privacy-Preserving Federated Learning based on Practical Blockchain State Channels

R Chen, Y Dong, Y Liu, T Fan, D Li, Z Guan… - Cryptology ePrint …, 2024 - eprint.iacr.org
Abstract\textit {Federated Learning}(FL) is a distributed machine learning paradigm that
allows multiple clients to train models collaboratively without sharing local data. Numerous …

Blockchain-Enabled Dynamic Spectrum Sharing for Satellite and Terrestrial Communication Networks

Z Wang, M Cao, H Jiang, B Cao, S Wang, C Sun… - arxiv preprint arxiv …, 2024 - arxiv.org
Dynamic spectrum sharing (DSS) between satellite and terrestrial networks has increasingly
engaged the academic and industrial sectors. Nevertheless, facilitating secure, efficient and …

Multi-Agent Distributed Decentralized Dynamic Resource Orchestration in 5G Edge-Cloud Networks

X We, J Farooq, J Chen - 2024 IEEE 13th International …, 2024 - ieeexplore.ieee.org
Effective resource orchestration for network slicing is critical for optimizing the performance
of diverse applications running on next generation communication networks. This paper …

A Survey On Security and Privacy Aspects and Solutions for Federated Learning in Mobile Communication Networks

Ş Erdal, F Karakoç, E Özdemir - ITU Journal of Wireless …, 2024 - dergipark.org.tr
In this study, we delve into cutting-edge solutions for security-centric, privacy-enhanced
federated learning, a rapidly evolving area of research that bridges the gap between data …

Federated learning framework for prediction based load distribution in 5G network slicing

N Dutta, SP Patole, R Mahadeva… - Proceedings of the 2024 …, 2024 - dl.acm.org
The 5G technology brings transformative changes across sectors like healthcare,
automotive, and entertainment by integrating massive IoT networks and supporting dense …