Adaptive block-wise regularization and knowledge distillation for enhancing federated learning

Peaches: Personalized federated learning with neural architecture search in edge computing

J Yan, J Liu, H Xu, Z Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In edge computing (EC), federated learning (FL) enables numerous distributed devices (or
workers) to collaboratively train AI models without exposing their local data. Most works of …
被引用次数：1 相关文章 所有 2 个版本

Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks

J Yan, J Liu, S Wang, H Xu, H Liu, J Zhou - arXiv preprint arXiv …, 2023 - arxiv.org
Federated Learning (FL) enables distributed clients to collaboratively train models without
exposing their private data. However, it is difficult to implement efficient FL due to limited …
相关文章 所有 2 个版本