alphaXiv

Explore

State of the Art

Sign In

Labs

Feedback

Browser Extension

We're hiring
PaperBlogResources

FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System

BibTex
Copy
@Article{Jin2023FedMLHEAE,
 author = {Weizhao Jin and Yuhang Yao and Shanshan Han and Carlee Joe-Wong and Srivatsan Ravi and A. Avestimehr and Chaoyang He},
 booktitle = {arXiv.org},
 journal = {ArXiv},
 title = {FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System},
 volume = {abs/2303.10837},
 year = {2023}
}
Transform this paper into an audio lecture
Get an engaging lecture and Q&A format to quickly understand the paper in minutes, perfect for learning on the go.
Audio lecture
Q&A format