Edge intelligence over the air: Two faces of interference in federated learning

Federated learning with partial gradients over-the-air

W Wang, Z Chen, N Pappas… - 2023 20th Annual IEEE …, 2023 - ieeexplore.ieee.org
We develop a theoretical framework to study the training of federated learning models with
partial gradients via over-the-air computing. The system consists of an edge server and …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

Adaptive Federated Learning Over the Air

C Wang, Z Chen, N Pappas, HH Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
We propose a federated version of adaptive gradient methods, particularly AdaGrad and
Adam, within the framework of over-the-air model training. This approach capitalizes on the …
相关文章 所有 2 个版本

Adaptive Gradient Methods For Over-the-Air Federated Learning

C Wang, Z Chen, HH Yang… - 2023 IEEE 24th …, 2023 - ieeexplore.ieee.org
Federated learning (FL) provides a privacy-preserving approach to realizing networked
intelligence. However, the performance of FL is often constrained by the limited …
被引用次数：1 相关文章