Enhancing federated learning with spectrum allocation optimization and device selection
Machine learning (ML) is a widely accepted means for supporting customized services for
mobile devices and applications. Federated Learning (FL), which is a promising approach to …
mobile devices and applications. Federated Learning (FL), which is a promising approach to …
Enhancing Federated Learning With Spectrum Allocation Optimization and Device Selection
T Zhang, KY Lam, J Zhao, F Li, H Han… - IEEE/ACM Transactions …, 2023 - computer.org
Abstract Machine learning (ML) is a widely accepted means for supporting customized
services for mobile devices and applications. Federated Learning (FL), which is a promising …
services for mobile devices and applications. Federated Learning (FL), which is a promising …
[PDF][PDF] Enhancing Federated Learning with spectrum allocation optimization and device selection
H Han, N Jamil - 2023 - academia.edu
Machine learning (ML) is a widely accepted means for supporting customized services for
mobile devices and applications. Federated Learning (FL), which is a promising approach to …
mobile devices and applications. Federated Learning (FL), which is a promising approach to …
Enhancing federated learning with spectrum allocation optimization and device selection
T Zhang, KY Lam, J Zhao, F Li, H Han… - IEEE/ACM Transactions …, 2023 - dr.ntu.edu.sg
Machine learning (ML) is a widely accepted means for supporting customized services for
mobile devices and applications. Federated Learning (FL), which is a promising approach to …
mobile devices and applications. Federated Learning (FL), which is a promising approach to …
Enhancing Federated Learning With Spectrum Allocation Optimization and Device Selection
T Zhang, KY Lam, J Zhao, F Li, H Han… - IEEE/ACM Transactions …, 2023 - dl.acm.org
Machine learning (ML) is a widely accepted means for supporting customized services for
mobile devices and applications. Federated Learning (FL), which is a promising approach to …
mobile devices and applications. Federated Learning (FL), which is a promising approach to …
Enhancing Federated Learning with spectrum allocation optimization and device selection
T Zhang, KY Lam, J Zhao, F Li, H Han… - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Abstract Machine learning (ML) is a widely accepted means for supporting customized
services for mobile devices and applications. Federated Learning (FL), which is a promising …
services for mobile devices and applications. Federated Learning (FL), which is a promising …
Enhancing Federated Learning with spectrum allocation optimization and device selection
T Zhang, KY Lam, J Zhao, F Li, H Han… - arXiv preprint arXiv …, 2022 - arxiv.org
Machine learning (ML) is a widely accepted means for supporting customized services for
mobile devices and applications. Federated Learning (FL), which is a promising approach to …
mobile devices and applications. Federated Learning (FL), which is a promising approach to …