Heterogeneous federated learning: State-of-the-art and research challenges

M Ye, X Fang, B Du, PC Yuen, D Tao - ACM Computing Surveys, 2023 - dl.acm.org
Federated learning (FL) has drawn increasing attention owing to its potential use in large-
scale industrial applications. Existing FL works mainly focus on model homogeneous …
被引用次数：112 相关文章

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

M Ye, X Fang, B Du, PC Yuen, D Tao - arXiv preprint arXiv:2307.10616, 2023 - arxiv.org
Federated learning (FL) has drawn increasing attention owing to its potential use in large-
scale industrial applications. Existing federated learning works mainly focus on model …

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

M Ye, X Fang, B Du, PC Yuen, D Tao - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Federated learning (FL) has drawn increasing attention owing to its potential use in large-
scale industrial applications. Existing federated learning works mainly focus on model …