Convergence of federated learning over a noisy downlink

MM Amiri, D Gündüz, SR Kulkarni… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We study federated learning (FL), where power-limited wireless devices utilize their local
datasets to collaboratively train a global model with the help of a remote parameter server …
被引用次数：77 相关文章

Convergence of Federated Learning over a Noisy Downlink

MM Amiri, D Gunduz, SR Kulkarni… - IEEE Transactions on …, 2022 - collaborate.princeton.edu
We study federated learning (FL), where power-limited wireless devices utilize their local
datasets to collaboratively train a global model with the help of a remote parameter server …
[PDF] researchgate.net

[PDF][PDF] Convergence of Federated Learning over a Noisy Downlink

MM Amiri, D Gündüz, SR Kulkarni… - arXiv preprint arXiv …, 2020 - researchgate.net
We study federated learning (FL), where power-limited wireless devices utilize their local
datasets to collaboratively train a global model with the help of a remote parameter server …

Convergence of Federated Learning over a Noisy Downlink

MM Amiri, D Gunduz, SR Kulkarni… - IEEE TRANSACTIONS …, 2022 - iris.unimore.it
We study federated learning (FL), where power-limited wireless devices utilize their local
datasets to collaboratively train a global model with the help of a remote parameter server …

Convergence of Federated Learning over a Noisy Downlink

MM Amiri, D Gunduz, SR Kulkarni, HV Poor - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
We study federated learning (FL), where power-limited wireless devices utilize their local
datasets to collaboratively train a global model with the help of a remote parameter server …
[PDF] ieee.org

[PDF][PDF] Convergence of Federated Learning over a Noisy Downlink

MM Amiri, D Gündüz, SR Kulkarni, HV Poor - ieeexplore.ieee.org
We study federated learning (FL), where powerlimited wireless devices utilize their local
datasets to collaboratively train a global model with the help of a remote parameter server …
[PDF] imperial.ac.uk

[PDF][PDF] Convergence of Federated Learning over a Noisy Downlink

MM Amiri, D Gündüz, SR Kulkarni, HV Poor - imperial.ac.uk
We study federated learning (FL), where power-limited wireless devices utilize their local
datasets to collaboratively train a global model with the help of a remote parameter server …

Convergence of Federated Learning Over a Noisy Downlink

MM Amiri, D Gunduz, SR Kulkarni… - IEEE Transactions on …, 2021 - oar.princeton.edu
We study federated learning (FL), where power-limited wireless devices utilize their local
datasets to collaboratively train a global model with the help of a remote parameter server …

Convergence of Federated Learning over a Noisy Downlink

MM Amiri, D Gunduz, SR Kulkarni, HV Poor - arXiv preprint arXiv …, 2020 - arxiv.org
We study federated learning (FL), where power-limited wireless devices utilize their local
datasets to collaboratively train a global model with the help of a remote parameter server …