most citedHercules: Boosting the Performance of Privacy-preserving Federated Learning

1 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2024★ 1 cited

FairRelay: Fair and Cost-Efficient Peer-to-Peer Content Delivery through Payment Channel Networks

Jingyu Liu, Yingjie Xue, Zifan Peng +2

Peer-to-Peer (P2P) content delivery, known for scalability and resilience, offers a decentralized alternative to traditional centralized Content Delivery Networks (CDNs). A signifi…

cs.CR2022★ 1 cited

Hercules: Boosting the Performance of Privacy-preserving Federated Learning

Guowen Xu, Xingshuo Han, Shengmin Xu +4

In this paper, we address the problem of privacy-preserving federated neural network training with users. We present Hercules, an efficient and high-precision training framewor…