A survey on over-the-air computation
Communication and computation are often viewed as separate tasks. This approach is very
effective from the perspective of engineering as isolated optimizations can be performed …
effective from the perspective of engineering as isolated optimizations can be performed …
Multiple access techniques for intelligent and multi-functional 6G: Tutorial, survey, and outlook
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions to serve multiple users/devices/machines/services …
make use of the resource dimensions to serve multiple users/devices/machines/services …
Federated learning via unmanned aerial vehicle
Federated learning (FL) has emerged as a promising alternative to centralized machine
learning for exploiting large amounts of data generated by networks while ensuring data …
learning for exploiting large amounts of data generated by networks while ensuring data …
Federated fine-tuning for pre-trained foundation models over wireless networks
Pre-trained foundation models (FMs), with extensive number of neurons, are key to
advancing next-generation intelligence services, where personalizing these models …
advancing next-generation intelligence services, where personalizing these models …
Online optimization for over-the-air federated learning with energy harvesting
Federated learning (FL) is recognized as a promising privacy-preserving distributed
machine learning paradigm, given its potential to enable collaborative model training among …
machine learning paradigm, given its potential to enable collaborative model training among …
Graph Attention-based MADRL for Access Control and Resource Allocation in Wireless Networked Control Systems
Wireless networked control systems (WNCS) offer great potential for revolutionizing the
industrial automation by enabling wireless coordination between sensors, decision centers …
industrial automation by enabling wireless coordination between sensors, decision centers …
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation
Federated Graph Learning (FGL) has garnered widespread attention by enabling
collaborative training on multiple clients for semi-supervised classification tasks. However …
collaborative training on multiple clients for semi-supervised classification tasks. However …
A Survey of Graph-Based Resource Management in Wireless Networks-Part I: Optimization Approaches
The evolution of wireless communications and networking technologies has led significantly
expansion of the dimensionality of network resources, which compels innovations in …
expansion of the dimensionality of network resources, which compels innovations in …
Convergence Analysis and Energy Minimization for Reconfigurable Intelligent Surface-Assisted Federated Learning
S Zhang, Z Yang, G Chen, Z Dong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper considers reconfigurable intelligent surface (RIS)-enabled federated learning
(FL) system, where the FL users communicate with the access point (AP) via RIS. To reveal …
(FL) system, where the FL users communicate with the access point (AP) via RIS. To reveal …
Joint Spectrum, Precoding, and Phase Shifts Design for RIS-Aided Multiuser MIMO THz Systems
A Mehrabian, VWS Wong - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Terahertz (THz) wireless systems aim to support content-rich applications with ultra-high
data rate. Due to high molecular absorption, THz signals experience severe path loss over …
data rate. Due to high molecular absorption, THz signals experience severe path loss over …