5 citations · 13 across the 9 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.CR2021
SEDML: Securely and Efficiently Harnessing Distributed Knowledge in Machine Learning
Yansong Gao, Qun Li, Yifeng Zheng +3
Training high-performing deep learning models require a rich amount of data which is usually distributed among multiple data sources in practice. Simply centralizing these multi-so…
cs.LG2021★ 5 cited
QuantumFed: A Federated Learning Framework for Collaborative Quantum Training
Qi Xia, Qun Li
With the fast development of quantum computing and deep learning, quantum neural networks have attracted great attention recently. By leveraging the power of quantum computing, dee…