Adaptive subcarrier, parameter, and power allocation for partitioned edge learning over broadband channels

D Wen, KJ Jeon, M Bennis… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we consider partitioned edge learning (PARTEL), which implements parameter-
server training, a well known distributed learning method, in a wireless network. Thereby …

Adaptive subcarrier, parameter, and power allocation for partitioned edge learning over broadband channels

D Wen, KJ Jeon, M Bennis, K Huang - 2021 - oulurepo.oulu.fi
In this paper, we consider partitioned edge learning (PARTEL), which implements parameter-
server training, a well known distributed learning method, in a wireless network. Thereby …

[PDF][PDF] Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels

D Wen, KJ Jeon, M Bennis… - arXiv preprint arXiv …, 2020 - researchgate.net
Recent years have witnessed growing interests in the deployment of AI algorithms at the
network edge to exploit distributed data and computation resources, known as edge …

[引用][C] Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels

D Wen, K Jeon, M Bennis, K Huang - IEEE Trans. on Wireless …, 2021 - hub.hku.hk
HKU Scholars Hub: Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge
Learning Over Broadband Channels Skip navigation HKU Login Guest Login Home Publications …

Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels

D Wen, KJ Jeon, M Bennis, K Huang - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
In this paper, we consider partitioned edge learning (PARTEL), which implements parameter-
server training, a well known distributed learning method, in a wireless network. Thereby …

Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels

D Wen, KJ Jeon, M Bennis, K Huang - arXiv preprint arXiv:2010.04061, 2020 - arxiv.org
In this paper, we consider partitioned edge learning (PARTEL), which implements parameter-
server training, a well known distributed learning method, in a wireless network. Thereby …