18 citations · 20 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 18 cited
DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology
Zhikun Chen, Daofeng Li, Jinkang Zhu +1
Federated learning (FL) is a burgeoning distributed machine learning framework where a central parameter server (PS) coordinates many local users to train a globally consistent mod…
eess.SP2020★ 2 cited
Knowledge-Driven Machine Learning: Concept, Model and Case Study on Channel Estimation
Daofeng Li, Kaihe Deng, Ming Zhao +2
The power of big data and machine learning has been drastically demonstrated in many fields during the past twenty years which somehow leads to the vague even false understanding t…
cs.LG2020
Semi-Federated Learning
Zhikun Chen, Daofeng Li, Ming Zhao +2
Federated learning (FL) enables massive distributed Information and Communication Technology (ICT) devices to learn a global consensus model without any participants revealing thei…