Over-the-Air Computation for 6G: Foundations, Technologies, and Applications
The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …
intelligent services, which place unprecedented demands on massive connectivity and …
A Contemporary Survey of Recent Advances in Federated Learning: Taxonomies, Applications, and Challenges
Abstract The Internet of Things (IoT) has embedded itself in our daily lives, offering smart
services and AI-driven applications. However, traditional AI methods face challenges due to …
services and AI-driven applications. However, traditional AI methods face challenges due to …
Over-the-Air Federated Learning and Optimization
Federated learning (FL), as an emerging distributed machine learning paradigm, allows a
mass of edge devices to collaboratively train a global model while preserving privacy. In this …
mass of edge devices to collaboratively train a global model while preserving privacy. In this …
Scalable Hybrid Beamforming for Multi-User MISO Systems: A Graph Neural Network Approach
S Wan, Z Wang, Y Zhou - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
Hybrid beamforming is a promising technology for enhancing the energy-and spectral-
efficiency of wireless networks with large-scale antenna arrays, yet the current designs fall …
efficiency of wireless networks with large-scale antenna arrays, yet the current designs fall …
[PDF][PDF] Communication-Efficient LLM Training for Federated Learning
A Raje - 2024 - reports-archive.adm.cs.cmu.edu
Federated learning (FL) is a recent model training paradigm in which client devices
collaboratively train a model without ever aggregating their data. Crucially, this scheme …
collaboratively train a model without ever aggregating their data. Crucially, this scheme …
[HTML][HTML] Joint Client and Resource Optimization for Federated Learning in Wireless IoT Networks
J Zhao, Y Ni, Y Cheng - Applied Sciences, 2024 - mdpi.com
Federated learning (FL) is a promising technique to provide intelligent services for the
internet of things (IoT). By transmitting the model parameters instead of user data between …
internet of things (IoT). By transmitting the model parameters instead of user data between …