Wireless federated distillation for distributed edge learning with heterogeneous data

JH Ahn, O Simeone, J Kang - 2019 IEEE 30th Annual …, 2019 - ieeexplore.ieee.org
Cooperative training methods for distributed machine learning typically assume noiseless
and ideal communication channels. This work studies some of the opportunities and …
被引用次数：114 相关文章

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

JH Ahn, O Simeone, J Kang - … on Personal, Indoor and Mobile Radio …, 2019 - dl.acm.org
Cooperative training methods for distributed machine learning typically assume noiseless
and ideal communication channels. This work studies some of the opportunities and …

[引用][C] Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

JH Ahn, O Simeone, J Kang - … on Personal, Indoor and Mobile Radio …, 2019 - cir.nii.ac.jp
Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data | 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 …

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

JH Ahn, O Simeone, J Kang - arXiv preprint arXiv:1907.02745, 2019 - arxiv.org
Cooperative training methods for distributed machine learning typically assume noiseless
and ideal communication channels. This work studies some of the opportunities and …

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

JH Ahn, O Simeone, J Kang - 30th IEEE Annual International …, 2019 - researchwith.njit.edu
Cooperative training methods for distributed machine learning typically assume noiseless
and ideal communication channels. This work studies some of the opportunities and …

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

JH Ahn, O Simeone, J Kang - 30th IEEE Annual International …, 2019 - kclpure.kcl.ac.uk
Cooperative training methods for distributed machine learning typically assume noiseless
and ideal communication channels. This work studies some of the opportunities and …

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

JH Ahn, O Simeone, J Kang - … on Personal, Indoor and Mobile Radio …, 2019 - pure.kaist.ac.kr
Cooperative training methods for distributed machine learning typically assume noiseless
and ideal communication channels. This work studies some of the opportunities and …

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

JH Ahn, O Simeone, J Kang - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Cooperative training methods for distributed machine learning typically assume noiseless
and ideal communication channels. This work studies some of the opportunities and …