Generalizable heterogeneous federated cross-correlation and instance similarity learning

W Huang, M Ye, Z Shi, B Du - IEEE Transactions on Pattern …, 2023 - ieeexplore.ieee.org
Federated learning is an important privacy-preserving multi-party learning paradigm,
involving collaborative learning with others and local updating on private data. Model …
被引用次数：41 相关文章

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning

W Huang, M Ye, Z Shi, B Du - IEEE Transactions on Pattern Analysis …, 2023 - computer.org
Federated learning is an important privacy-preserving multi-party learning paradigm,
involving collaborative learning with others and local updating on private data. Model …

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning

W Huang, M Ye, Z Shi, B Du - IEEE transactions on pattern … - pubmed.ncbi.nlm.nih.gov
Federated learning is an important privacy-preserving multi-party learning paradigm,
involving collaborative learning with others and local updating on private data. Model …

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning.

W Huang, M Ye, Z Shi, B Du - IEEE Transactions on Pattern …, 2023 - europepmc.org
Federated learning is an important privacy-preserving multi-party learning paradigm,
involving collaborative learning with others and local updating on private data. Model …

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning

W Huang, M Ye, Z Shi, B Du - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Federated learning is an important privacy-preserving multi-party learning paradigm,
involving collaborative learning with others and local updating on private data. Model …

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning

W Huang, M Ye, Z Shi, B Du - arXiv preprint arXiv:2309.16286, 2023 - arxiv.org
Federated learning is an important privacy-preserving multi-party learning paradigm,
involving collaborative learning with others and local updating on private data. Model …

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning

W Huang, M Ye, Z Shi, B Du - IEEE Transactions on Pattern Analysis …, 2024 - dl.acm.org
Federated learning is an important privacy-preserving multi-party learning paradigm,
involving collaborative learning with others and local updating on private data. Model …

Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning

W Huang, M Ye, Z Shi, B Du - IEEE Transactions on Pattern Analysis …, 2024 - computer.org
Federated learning is an important privacy-preserving multi-party learning paradigm,
involving collaborative learning with others and local updating on private data. Model …