Eliminating domain bias for federated learning in representation space

J Zhang, Y Hua, J Cao, H Wang… - Advances in …, 2024 - proceedings.neurips.cc
Recently, federated learning (FL) is popular for its privacy-preserving and collaborative
learning abilities. However, under statistically heterogeneous scenarios, we observe that …
被引用次数：6 相关文章

Eliminating domain bias for federated learning in representation space

J Zhang, Y Hua, J Cao, H Wang, T Song… - Proceedings of the 37th …, 2023 - dl.acm.org
Recently, federated learning (FL) is popular for its privacy-preserving and collaborative
learning abilities. However, under statistically heterogeneous scenarios, we observe that …

Eliminating Domain Bias for Federated Learning in Representation Space

J Zhang, Y Hua, J Cao, H Wang, T Song, Z Xue… - arXiv preprint arXiv …, 2023 - arxiv.org
Recently, federated learning (FL) is popular for its privacy-preserving and collaborative
learning abilities. However, under statistically heterogeneous scenarios, we observe that …

Eliminating Domain Bias for Federated Learning in Representation Space

J Zhang, Y Hua, J Cao, H Wang, T Song, Z Xue… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Recently, federated learning (FL) is popular for its privacy-preserving and collaborative
learning abilities. However, under statistically heterogeneous scenarios, we observe that …

Eliminating Domain Bias for Federated Learning in Representation Space

J Zhang, Y Hua, J Cao, H Wang, T Song, Z Xue, R Ma… - CoRR, 2023 - openreview.net
Recently, federated learning (FL) is popular for its privacy-preserving and collaborative
learning abilities. However, under statistically heterogeneous scenarios, we observe that …

Eliminating Domain Bias for Federated Learning in Representation Space

J Zhang, Y Hua, J Cao, H Wang, T Song, Z Xue, R Ma… - NeurIPS, 2023 - openreview.net
Recently, federated learning (FL) is popular for its privacy-preserving and collaborative
learning abilities. However, under statistically heterogeneous scenarios, we observe that …