Parameterized knowledge transfer for personalized federated learning

J Zhang, S Guo, X Ma, H Wang… - Advances in Neural …, 2021 - proceedings.neurips.cc
In recent years, personalized federated learning (pFL) has attracted increasing attention for
its potential in dealing with statistical heterogeneity among clients. However, the state-of-the …

Parameterized knowledge transfer for personalized federated learning

J Zhang, S Guo, X Ma, H Wang, W Xu… - Proceedings of the 35th …, 2021 - dl.acm.org
In recent years, personalized federated learning (pFL) has attracted increasing attention for
its potential in dealing with statistical heterogeneity among clients. However, the state-of-the …

Parameterized Knowledge Transfer for Personalized Federated Learning

J Zhang, S Guo, X Ma, H Wang… - Advances in Neural …, 2021 - proceedings.neurips.cc
In recent years, personalized federated learning (pFL) has attracted increasing attention for
its potential in dealing with statistical heterogeneity among clients. However, the state-of-the …

Parameterized Knowledge Transfer for Personalized Federated Learning

J Zhang, S Guo, X Ma, H Wang, W Xu, F Wu - Advances in Neural … - openreview.net
In recent years, personalized federated learning (pFL) has attracted increasing attention for
its potential in dealing with statistical heterogeneity among clients. However, the state-of-the …

Parameterized Knowledge Transfer for Personalized Federated Learning

J Zhang, S Guo, X Ma, H Wang, W Xu, F Wu - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
In recent years, personalized federated learning (pFL) has attracted increasing attention for
its potential in dealing with statistical heterogeneity among clients. However, the state-of-the …

Parameterized Knowledge Transfer for Personalized Federated Learning

J Zhang, S Guo, X Ma, H Wang, W Xu, F Wu - arXiv preprint arXiv …, 2021 - arxiv.org
In recent years, personalized federated learning (pFL) has attracted increasing attention for
its potential in dealing with statistical heterogeneity among clients. However, the state-of-the …