Fast convergence algorithm for analog federated learning

S Xia, J Zhu, Y Yang, Y Zhou, Y Shi… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
In this paper, we consider federated learning (FL) over a noisy fading multiple access
channel (MAC), where an edge server aggregates the local models transmitted by multiple …
被引用次数：35 相关文章
[PDF] researchgate.net

[PDF][PDF] Fast Convergence Algorithm for Analog Federated Learning

S Xia, J Zhu, Y Yang, Y Zhou, Y Shi, W Chen - researchgate.net
In this paper, we consider federated learning (FL) over a noisy fading multiple access
channel (MAC), where an edge server aggregates the local models transmitted by multiple …

Fast Convergence Algorithm for Analog Federated Learning

S Xia, J Zhu, Y Yang, Y Zhou, Y Shi, W Chen - 2021 - kms.shanghaitech.edu.cn
In this paper, we consider federated learning (FL) over a noisy fading multiple access
channel (MAC), where an edge server aggregates the local models transmitted by multiple …

Fast Convergence Algorithm for Analog Federated Learning

S Xia, J Zhu, Y Yang, Y Zhou, Y Shi, W Chen - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
In this paper, we consider federated learning (FL) over a noisy fading multiple access
channel (MAC), where an edge server aggregates the local models transmitted by multiple …

Fast Convergence Algorithm for Analog Federated Learning

S Xia, J Zhu, Y Yang, Y Zhou, Y Shi, W Chen - arXiv preprint arXiv …, 2020 - arxiv.org
In this paper, we consider federated learning (FL) over a noisy fading multiple access
channel (MAC), where an edge server aggregates the local models transmitted by multiple …