Communication-efficient federated learning with compensated overlap-fedavg

Y Zhou, Q Ye, J Lv - IEEE Transactions on Parallel and …, 2021 - ieeexplore.ieee.org
While petabytes of data are generated each day by a number of independent computing
devices, only a few of them can be finally collected and used for deep learning (DL) due to …
被引用次数：135 相关文章

[引用][C] Communication-Efficient Federated Learning With Compensated Overlap-FedAvg

Y Zhou, Q Ye, J Lv - IEEE Transactions on Parallel and Distributed …, 2022 - cir.nii.ac.jp
Communication-Efficient Federated Learning With Compensated Overlap-FedAvg | CiNii
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …

Communication-Efficient Federated Learning With Compensated Overlap-FedAvg

Y Zhou, Q Ye, J Lv - IEEE Transactions on Parallel & Distributed …, 2022 - computer.org
While petabytes of data are generated each day by a number of independent computing
devices, only a few of them can be finally collected and used for deep learning (DL) due to …

Communication-Efficient Federated Learning with Compensated Overlap-FedAvg

Y Zhou, Y Qing, J Lv - arXiv preprint arXiv:2012.06706, 2020 - arxiv.org
Petabytes of data are generated each day by emerging Internet of Things (IoT), but only few
of them can be finally collected and used for Machine Learning (ML) purposes due to the …

Communication-Efficient Federated Learning with Compensated Overlap-FedAvg

Y Zhou, Y Qing, J Lv - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Petabytes of data are generated each day by emerging Internet of Things (IoT), but only few
of them can be finally collected and used for Machine Learning (ML) purposes due to the …

Communication-Efficient Federated Learning With Compensated Overlap-FedAvg

Y Zhou, Q Ye, J Lv - IEEE Transactions on Parallel and Distributed …, 2022 - dl.acm.org
While petabytes of data are generated each day by a number of independent computing
devices, only a few of them can be finally collected and used for deep learning (DL) due to …