Federated Learning for 6G HetNets' Physical Layer Optimization: Perspectives, Trends, and Challenges
This chapter presents a survey that focuses on the implementation of federated learning (FL)
techniques in sixth generation (6G) networks' physical layer (PHY) to meet the increasing …
techniques in sixth generation (6G) networks' physical layer (PHY) to meet the increasing …
Securing the edge: privacy-preserving federated learning for insider threats in IoT networks
K Kamatchi, E Uma - The Journal of Supercomputing, 2025 - Springer
Insider threats in Internet of Things (IoT) networks pose significant risks, as compromised
devices can misuse their privileges to cause substantial harm. Centralized methods for …
devices can misuse their privileges to cause substantial harm. Centralized methods for …
Bayesian Game-Driven Incentive Mechanism for Blockchain-Enabled Secure Federated Learning in 6 G Wireless Networks
The sixth-generation (6 G) wireless networks are envisioned to build a data-driven digital
world with widespread Artificial Intelligence (AI). Federated learning (FL) is a distributed AI …
world with widespread Artificial Intelligence (AI). Federated learning (FL) is a distributed AI …
6G: Technology Evolution in Future Wireless Networks
The Sixth Generation (6G) Wireless Communication Network (WCN) is the successive
provision to ameliorate the gain with ultra-low latency, and e xtremely high energy efficiency …
provision to ameliorate the gain with ultra-low latency, and e xtremely high energy efficiency …
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning
Federated learning (FL) has gained widespread attention for its privacy-preserving and
collaborative learning capabilities. Due to significant statistical heterogeneity, traditional FL …
collaborative learning capabilities. Due to significant statistical heterogeneity, traditional FL …
Privacy-Preserving Federated Learning for Data Heterogeneity in 6G Mobile Networks
The development of 6G mobile networks will produce many smart Internet of Things devices
and data at the network's edge. Advanced AI technology holds the potential to enable 6G …
and data at the network's edge. Advanced AI technology holds the potential to enable 6G …
Collocated Massive MIMO SWIPT for Wireless Federated Learning
This paper explores the application of federated learning (FL) in 5G and 6G wireless
networks, focusing on achieving a global model from user-local datasets. To enhance …
networks, focusing on achieving a global model from user-local datasets. To enhance …
Tensor-Empowered Lightweight Representations for Personalized Federated Learning in Heterogeneous 6G Networks
R Zhao, LT Yang, D Liu, X Yang, M Wang - IEEE Network, 2024 - ieeexplore.ieee.org
The Sixth Generation (6G) networks are designed to provide ubiquitous, customized and
intelligent services for users. Federated Learning (FL) as a privacy-preserving Artificial …
intelligent services for users. Federated Learning (FL) as a privacy-preserving Artificial …
Federated Learning on 5G Edge for Industrial Internet of Things
Industry 4.0, leveraging the Internet of Things (IoT) and Artificial Intelligence (AI), is a key
enabler for many automated processes in modernized industrial applications. This paper …
enabler for many automated processes in modernized industrial applications. This paper …
Federated Learning-Based Network Slicing in 6G Systems for Enhanced Performance in Autonomous Vehicle Communication
S Asha, KD Sree, SA Sandhya - 2024 First International …, 2024 - ieeexplore.ieee.org
To improve 6G connectivity for autonomous vehicles (AVs), this article suggests a network
slicing system based on federated learning. AVs maintain privacy by using federated …
slicing system based on federated learning. AVs maintain privacy by using federated …