Learning rate optimization for federated learning exploiting over-the-air computation

C Xu, S Liu, Z Yang, Y Huang… - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
Federated learning (FL) as a promising edge-learning framework can effectively address the
latency and privacy issues by featuring distributed learning at the devices and model …
被引用次数：126 相关文章

Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation

C Xu, S Liu, Z Yang, Y Huang, KK Wong - 2021 - discovery.ucl.ac.uk
Federated learning (FL) as a promising edge-learning framework can effectively address the
latency and privacy issues by featuring distributed learning at the devices and model …

Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation

C Xu, S Liu, Z Yang, Y Huang, KK Wong - arXiv preprint arXiv:2102.02946, 2021 - arxiv.org
Federated learning (FL) as a promising edge-learning framework can effectively address the
latency and privacy issues by featuring distributed learning at the devices and model …

Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation

C Xu, S Liu, Z Yang, Y Huang, KK Wong - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Federated learning (FL) as a promising edge-learning framework can effectively address the
latency and privacy issues by featuring distributed learning at the devices and model …