Efficient wireless federated learning with partial model aggregation

Z Chen, W Yi, H Shin, A Nallanathan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The data heterogeneity across clients and the limited communication resources, eg,
bandwidth and energy, are two of the main bottlenecks for wireless federated learning (FL) …
被引用次数：4 相关文章

Efficient Wireless Federated Learning with Partial Model Aggregation

Z Chen, W Yi, A Nallanathan, GY Li - arXiv preprint arXiv:2204.09746, 2022 - arxiv.org
The data heterogeneity across devices and the limited communication resources, eg,
bandwidth and energy, are two of the main bottlenecks for wireless federated learning (FL) …

Efficient Wireless Federated Learning with Partial Model Aggregation

Z Chen, W Yi, A Nallanathan, GY Li - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
The data heterogeneity across devices and the limited communication resources, eg,
bandwidth and energy, are two of the main bottlenecks for wireless federated learning (FL) …