Motley: Benchmarking heterogeneity and personalization in federated learning

S Wu, T Li, Z Charles, Y Xiao, Z Liu, Z Xu… - arXiv preprint arXiv …, 2022 - arxiv.org
Personalized federated learning considers learning models unique to each client in a
heterogeneous network. The resulting client-specific models have been purported to …
被引用次数：37 相关文章

Motley: Benchmarking Heterogeneity and Personalization in Federated Learning

S Wu, T Li, Z Charles, Y Xiao, K Liu, Z Xu… - Workshop on Federated … - openreview.net
Personalized federated learning considers learning models unique to each client in a
heterogeneous network. The resulting client-specific models have been purported to …

Motley: Benchmarking Heterogeneity and Personalization in Federated Learning

S Wu, T Li, Z Charles, Y Xiao, Z Liu, Z Xu… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Personalized federated learning considers learning models unique to each client in a
heterogeneous network. The resulting client-specific models have been purported to …