Joint client scheduling and resource allocation under channel uncertainty in federated learning
MM Wadu, S Samarakoon… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The performance of federated learning (FL) over wireless networks depend on the reliability
of the client-server connectivity and clients' local computation capabilities. In this article we …
of the client-server connectivity and clients' local computation capabilities. In this article we …
Using information theory principles to schedule real-time tasks
AMK Cheng - 2017 51st Annual Conference on Information …, 2017 - ieeexplore.ieee.org
The purpose of this paper is to present a scheduling solution based on information theory
principles to schedule real-time tasks. We propose the mathematical background for using …
principles to schedule real-time tasks. We propose the mathematical background for using …
A novel density ratio‐based batch active learning fault diagnosis method integrated with adaptive Laplacian graph trimming
In actual industrial processes, although a large number of original data are easy to obtain,
only a few samples are effectively labelled, which is insufficient to construct a supervised …
only a few samples are effectively labelled, which is insufficient to construct a supervised …
An entropy-based wlan channel allocation using channel state information
Low-cost access points have proliferated wireless local area networks (WLAN) providing
main wireless access in many unmanaged networks. The majority of these APs rely on …
main wireless access in many unmanaged networks. The majority of these APs rely on …
An approach of robust power control for cognitive radio networks based on chance constraints
Z Zhao, Z Liu, P Wang, X Guan - Peer-to-Peer Networking and …, 2019 - Springer
The changing and fluctuations of channel gains are inevitable in wireless communication. In
this paper, a robust power control scheme for cognitive radio networks is proposed with …
this paper, a robust power control scheme for cognitive radio networks is proposed with …
Entropy‐based dispatching: academic insights and perspectives through bibliometric analysis
Entropy‐based dispatching has attracted more and more attention from professional
scholars and engineers. The quantity and quality of publications related to this topic are …
scholars and engineers. The quantity and quality of publications related to this topic are …
Communication-efficient scheduling policy for federated learning under channel uncertainty
M Manimel Wadu - 2019 - oulurepo.oulu.fi
Federated learning (FL) is a promising decentralized training method for on-device machine
learning. Yet achieving a performance close to a centralized training via FL is hindered by …
learning. Yet achieving a performance close to a centralized training via FL is hindered by …