Practical and robust federated learning with highly scalable regression training

S Han, H Ding, S Zhao, S Ren, Z Wang… - … on Neural Networks …, 2023 - ieeexplore.ieee.org
Privacy-preserving federated learning, as one of the privacy-preserving computation
techniques, is a promising distributed and privacy-preserving machine learning (ML) …
被引用次数：32 相关文章
[PDF] researchgate.net

[PDF][PDF] Practical and Robust Federated Learning with Highly-Scalable Regression Training

S Han, H Ding, S Zhao, S Ren, Z Wang, J Lin, S Zhou - researchgate.net
Privacy-preserving federated learning, as one of the privacy-preserving computation
techniques, is a promising distributed and privacy-preserving machine learning (ML) …

Practical and Robust Federated Learning With Highly Scalable Regression Training

S Han, H Ding, S Zhao, S Ren, Z Wang… - IEEE transactions on … - pubmed.ncbi.nlm.nih.gov
Privacy-preserving federated learning, as one of the privacy-preserving computation
techniques, is a promising distributed and privacy-preserving machine learning (ML) …

Practical and Robust Federated Learning With Highly Scalable Regression Training.

S Han, H Ding, S Zhao, S Ren, Z Wang… - IEEE Transactions on …, 2023 - europepmc.org
Privacy-preserving federated learning, as one of the privacy-preserving computation
techniques, is a promising distributed and privacy-preserving machine learning (ML) …
[PDF] researchgate.net

[PDF][PDF] Practical and Robust Federated Learning With Highly Scalable Regression Training

J Lin, S Zhou - researchgate.net
Privacy-preserving federated learning, as one of the privacy-preserving computation
techniques, is a promising distributed and privacy-preserving machine learning (ML) …