Age-based scheduling policy for federated learning in mobile edge networks

HH Yang, A Arafa, TQS Quek… - ICASSP 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Federated learning (FL) is a machine learning model that preserves data privacy in the
training process. Specifically, FL brings the model directly to the user equipments (UEs) for …

Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks

HH Yang, A Arafa, TQS Quek, HV Poor - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Federated learning (FL) is a machine learning model that preserves data privacy in the
training process. Specifically, FL brings the model directly to the user equipments (UEs) for …

[PDF][PDF] AGE-BASED SCHEDULING POLICY FOR FEDERATED LEARNING IN MOBILE EDGE NETWORKS

HH Yang, A Arafa, TQS Quek, HV Poor - webpages.uncc.edu
Federated learning (FL) is a machine learning model that preserves data privacy in the
training process. Specifically, FL brings the model directly to the user equipments (UEs) for …

[PDF][PDF] AGE-BASED SCHEDULING POLICY FOR FEDERATED LEARNING IN MOBILE EDGE NETWORKS

HH Yang, A Arafa, TQS Quek, HV Poor - webpages.charlotte.edu
Federated learning (FL) is a machine learning model that preserves data privacy in the
training process. Specifically, FL brings the model directly to the user equipments (UEs) for …

Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks

HH Yang, A Arafa, TQS Quek… - … on Acoustics, Speech …, 2020 - researchoutput.ncku.edu.tw
Federated learning (FL) is a machine learning model that preserves data privacy in the
training process. Specifically, FL brings the model directly to the user equipments (UEs) for …

Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks

HH Yang, A Arafa, TQS Quek… - 2020 IEEE International …, 2020 - collaborate.princeton.edu
Federated learning (FL) is a machine learning model that preserves data privacy in the
training process. Specifically, FL brings the model directly to the user equipments (UEs) for …

Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks

HH Yang, A Arafa, TQS Quek, HV Poor - arXiv preprint arXiv:1910.14648, 2019 - arxiv.org
Federated learning (FL) is a machine learning model that preserves data privacy in the
training process. Specifically, FL brings the model directly to the user equipments (UEs) for …