One-bit over-the-air aggregation for communication-efficient federated edge learning: Design and convergence analysis

G Zhu, Y Du, D Gündüz, K Huang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Federated edge learning (FEEL) is a popular framework for model training at an edge server
using data distributed at edge devices (eg, smart-phones and sensors) without …
被引用次数：309 相关文章
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[PDF][PDF] One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

G Zhu, Y Du, D Gündüz, K Huang - imperial.ac.uk
Federated edge learning (FEEL) is a popular framework for model training at an edge server
using data distributed at edge devices (eg, smart-phones and sensors) without …

One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

G Zhu, Y Du, D Gunduz, K Huang - IEEE TRANSACTIONS ON …, 2021 - iris.unimore.it
Federated edge learning (FEEL) is a popular framework for model training at an edge server
using data distributed at edge devices (eg, smart-phones and sensors) without …

One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

G Zhu, Y Du, D Gunduz, K Huang - arXiv preprint arXiv:2001.05713, 2020 - arxiv.org
Federated edge learning (FEEL) is a popular framework for model training at an edge server
using data distributed at edge devices (eg, smart-phones and sensors) without …

One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

G Zhu, Y Du, D Gündüz, K Huang - IEEE Transactions on Wireless …, 2021 - dl.acm.org
Federated edge learning (FEEL) is a popular framework for model training at an edge server
using data distributed at edge devices (eg, smart-phones and sensors) without …

[引用][C] One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

G Zhu, Y Du, D Gunduz, K Huang - IEEE Transactions on Wireless …, 2021 - cir.nii.ac.jp
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning:
Design and Convergence Analysis | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ …

One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

G ZHU, Y DU, D Gunduz, K Huang - IEEE Transactions on Wireless …, 2021 - hub.hku.hk
Federated edge learning (FEEL) is a popular framework for model training at an edge server
using data distributed at edge devices (eg, smart-phones and sensors) without …

One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

G Zhu, Y Du, D Gunduz, K Huang - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Federated edge learning (FEEL) is a popular framework for model training at an edge server
using data distributed at edge devices (eg, smart-phones and sensors) without …

[引用][C] One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

G Zhu, Y Du, D Gunduz, K Huang - IEEE Trans. on Wireless Comm, 2021 - hub.hku.hk
HKU Scholars Hub: One-Bit Over-the-Air Aggregation for Communication-Efficient Federated
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