Resource allocation in mobility-aware federated learning networks: A deep reinforcement learning approach

HT Nguyen, NC Luong, J Zhao… - 2020 IEEE 6th World …, 2020 - ieeexplore.ieee.org
Federated learning allows mobile devices, ie, workers, to use their local data to
collaboratively train a global model required by the model owner. Federated learning thus …
被引用次数：63 相关文章

Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach

HT Nguyen, N Cong Luong, J Zhao, C Yuen… - arXiv e …, 2019 - ui.adsabs.harvard.edu
Federated learning allows mobile devices, ie, workers, to use their local data to
collaboratively train a global model required by the model owner. Federated learning thus …

Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach

HT Nguyen, NC Luong, J Zhao, C Yuen… - arXiv preprint arXiv …, 2019 - arxiv.org
Federated learning allows mobile devices, ie, workers, to use their local data to
collaboratively train a global model required by the model owner. Federated learning thus …
[PDF] researchgate.net

[PDF][PDF] Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach

HT Nguyen, NC Luong, J Zhao, C Yuen, D Niyato - researchgate.net
Federated learning allows mobile devices, ie, workers, to use their local data to
collaboratively train a global model required by the model owner. Federated learning thus …
[PDF] researchgate.net

[PDF][PDF] Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach

HT Nguyen, NC Luong, J Zhao, C Yuen, D Niyato - researchgate.net
Federated learning allows mobile devices, ie, workers, to use their local data to
collaboratively train a global model required by the model owner. Federated learning thus …